{"id":2122,"date":"2024-05-12T12:43:20","date_gmt":"2024-05-12T12:43:20","guid":{"rendered":"https:\/\/code.com.cy\/?page_id=2122"},"modified":"2024-05-12T12:56:23","modified_gmt":"2024-05-12T12:56:23","slug":"ai-and-machine-learning","status":"publish","type":"page","link":"https:\/\/code.com.cy\/el\/ai-and-machine-learning\/","title":{"rendered":"AI and Machine Learning"},"content":{"rendered":"<div data-elementor-type=\"wp-page\" data-elementor-id=\"2122\" class=\"elementor elementor-2122\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-0c8b1a3 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"0c8b1a3\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;ekit_has_onepagescroll_dot&quot;:&quot;yes&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-7be7841\" data-id=\"7be7841\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f6b2570 elementor-widget elementor-widget-heading\" data-id=\"f6b2570\" data-element_type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.21.0 - 26-05-2024 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-default\">AI and Machine Learning<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-0bf1088 elementor-hidden-mobile elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"0bf1088\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;ekit_has_onepagescroll_dot&quot;:&quot;yes&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-25 elementor-top-column elementor-element elementor-element-65d5046\" data-id=\"65d5046\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-25 elementor-top-column elementor-element elementor-element-a439733\" data-id=\"a439733\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-25 elementor-top-column elementor-element elementor-element-13219cc\" data-id=\"13219cc\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-25 elementor-top-column elementor-element elementor-element-53dd127\" data-id=\"53dd127\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-105c32c elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"105c32c\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;ekit_has_onepagescroll_dot&quot;:&quot;yes&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-f2a8b76\" data-id=\"f2a8b76\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-0a9d7dd elementor-widget elementor-widget-heading\" data-id=\"0a9d7dd\" data-element_type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">\u0395\u03c0\u03b9\u03c3\u03ba\u03cc\u03c0\u03b7\u03c3\u03b7<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3ddaa19 elementor-widget elementor-widget-text-editor\" data-id=\"3ddaa19\" data-element_type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.21.0 - 26-05-2024 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p>\u03a4\u03bf <strong>AI and Machine Learning<\/strong> unit is a hands-on introduction to developing a machine learning model with tabular data. Students explore how computers learn from data to make decisions, then develop machine learning projects around real-world data. The unit culminates in designing a machine learning app to solve a personally relevant problem.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-822ac2b\" data-id=\"822ac2b\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-0d6644b elementor-widget elementor-widget-image\" data-id=\"0d6644b\" data-element_type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.21.0 - 26-05-2024 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"309\" height=\"140\" src=\"https:\/\/code.com.cy\/wp-content\/uploads\/2024\/05\/AIML.png\" class=\"attachment-large size-large wp-image-2130\" alt=\"\" srcset=\"https:\/\/code.com.cy\/wp-content\/uploads\/2024\/05\/AIML.png 309w, https:\/\/code.com.cy\/wp-content\/uploads\/2024\/05\/AIML-300x136.png 300w, https:\/\/code.com.cy\/wp-content\/uploads\/2024\/05\/AIML-18x8.png 18w\" sizes=\"(max-width: 309px) 100vw, 309px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-0e05d71 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"0e05d71\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;ekit_has_onepagescroll_dot&quot;:&quot;yes&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-bc00350\" data-id=\"bc00350\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a5f4902 elementor-widget elementor-widget-heading\" data-id=\"a5f4902\" data-element_type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">\u039c\u03b1\u03b8\u03ae\u03bc\u03b1\u03c4\u03b1<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-9165f22 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"9165f22\" data-element_type=\"section\" data-settings=\"{&quot;ekit_has_onepagescroll_dot&quot;:&quot;yes&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-inner-column elementor-element elementor-element-ac9b32b\" data-id=\"ac9b32b\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-inner-column elementor-element elementor-element-2182824\" data-id=\"2182824\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-e565a5d elementor-widget elementor-widget-bdt-accordion\" data-id=\"e565a5d\" data-element_type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"bdt-accordion.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t        <div class=\"bdt-ep-accordion-container\">\r\n            <div id=\"bdt-ep-accordion-e565a5d\" class=\"bdt-ep-accordion bdt-accordion\" data-bdt-accordion=\"{&quot;collapsible&quot;:true,&quot;multiple&quot;:false,&quot;transition&quot;:&quot;ease-in-out&quot;}\" data-settings=\"{&quot;id&quot;:&quot;bdt-ep-accordion-e565a5d&quot;,&quot;activeHash&quot;:&quot;no&quot;,&quot;activeScrollspy&quot;:null,&quot;hashTopOffset&quot;:false,&quot;hashScrollspyTime&quot;:false}\">\r\n                                    <div class=\"bdt-ep-accordion-item\">\r\n                        <div class=\"bdt-ep-accordion-title bdt-accordion-title bdt-flex bdt-flex-middle bdt-flex-between\" id=\"bdt-ep-accordion-lesson-1-intro-to-app-lab\" data-accordion-index=\"0\" data-title=\"lesson-1-intro-to-app-lab\" role=\"heading\">\r\n\r\n                                                            <span class=\"bdt-ep-accordion-icon bdt-flex-align-right\" aria-hidden=\"true\">\r\n\r\n                                                                            <span class=\"bdt-ep-accordion-icon-closed\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-down\"><\/i>                                        <\/span>\r\n                                    \r\n                                                                            <span class=\"bdt-ep-accordion-icon-opened\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-up\"><\/i>                                        <\/span>\r\n                                    \r\n                                <\/span>\r\n                            \r\n                            <span class=\"bdt-ep-title-text bdt-flex bdt-flex-middle\">\r\n\r\n                                                                Lesson 1: Intro to App Lab                            <\/span>\r\n\r\n                        <\/div>\r\n                        <div class=\"bdt-ep-accordion-content bdt-accordion-content\">\r\n                            <p style=\"text-align: left;\">This tutorial is designed to quickly introduce the App Lab programming environment as a powerful tool for building and sharing apps. The tutorial itself teaches students to create and control buttons, text, images, sounds, and screens in JavaScript using either blocks or text. At the end of the tutorial, students are given time to either extend a project they started building into a &#8220;Choose Your Own Adventure&#8221;, &#8220;Greeting Card&#8221;, or &#8220;Personality Quiz&#8221; app. They can also continue on to build more projects featured on the code.org\/applab page.<\/p>                        <\/div>\r\n                    <\/div>\r\n                                    <div class=\"bdt-ep-accordion-item\">\r\n                        <div class=\"bdt-ep-accordion-title bdt-accordion-title bdt-flex bdt-flex-middle bdt-flex-between\" id=\"bdt-ep-accordion-lesson-2-introduction-to-machine-learning\" data-accordion-index=\"1\" data-title=\"lesson-2-introduction-to-machine-learning\" role=\"heading\">\r\n\r\n                                                            <span class=\"bdt-ep-accordion-icon bdt-flex-align-right\" aria-hidden=\"true\">\r\n\r\n                                                                            <span class=\"bdt-ep-accordion-icon-closed\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-down\"><\/i>                                        <\/span>\r\n                                    \r\n                                                                            <span class=\"bdt-ep-accordion-icon-opened\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-up\"><\/i>                                        <\/span>\r\n                                    \r\n                                <\/span>\r\n                            \r\n                            <span class=\"bdt-ep-title-text bdt-flex bdt-flex-middle\">\r\n\r\n                                                                Lesson 2: Introduction to Machine Learning                            <\/span>\r\n\r\n                        <\/div>\r\n                        <div class=\"bdt-ep-accordion-content bdt-accordion-content\">\r\n                            <div><div><p style=\"text-align: left;\">In this lesson students are introduced to a form of artificial intelligence called machine learning and how they can use the Problem Solving Process to help train a robot to solve problems. They participate in three machine learning activities where a robot &#8211; A.I. Bot &#8211; is learning how to detect patterns in fish.<\/p><p style=\"text-align: left;\"><strong>Question of the Day:<\/strong> How can we use the Problem Solving Process to solve a problem with machine learning?<\/p><\/div><\/div>                        <\/div>\r\n                    <\/div>\r\n                                    <div class=\"bdt-ep-accordion-item\">\r\n                        <div class=\"bdt-ep-accordion-title bdt-accordion-title bdt-flex bdt-flex-middle bdt-flex-between\" id=\"bdt-ep-accordion-lesson-3-types-of-machine-learning\" data-accordion-index=\"2\" data-title=\"lesson-3-types-of-machine-learning\" role=\"heading\">\r\n\r\n                                                            <span class=\"bdt-ep-accordion-icon bdt-flex-align-right\" aria-hidden=\"true\">\r\n\r\n                                                                            <span class=\"bdt-ep-accordion-icon-closed\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-down\"><\/i>                                        <\/span>\r\n                                    \r\n                                                                            <span class=\"bdt-ep-accordion-icon-opened\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-up\"><\/i>                                        <\/span>\r\n                                    \r\n                                <\/span>\r\n                            \r\n                            <span class=\"bdt-ep-title-text bdt-flex bdt-flex-middle\">\r\n\r\n                                                                Lesson 3: Types of Machine Learning                            <\/span>\r\n\r\n                        <\/div>\r\n                        <div class=\"bdt-ep-accordion-content bdt-accordion-content\">\r\n                            <div><div><p style=\"text-align: left;\">In this lesson students will consider how they create \u201cmental\u201d models when learning new concepts, and how those can be similar to a \u201cmachine learning\u201d model. They participate in a color pattern activity to simulate building a machine learning model without help, then they play a game called &#8220;Green Glass Door&#8221; as an example of supervised learning, and finally, they will sort several scenarios into \u201csupervised\u201d or \u201cunsupervised\u201d learning.<\/p><p style=\"text-align: left;\"><strong>Question of the Day:<\/strong> What are different types of machine learning?<\/p><\/div><\/div>                        <\/div>\r\n                    <\/div>\r\n                                    <div class=\"bdt-ep-accordion-item\">\r\n                        <div class=\"bdt-ep-accordion-title bdt-accordion-title bdt-flex bdt-flex-middle bdt-flex-between\" id=\"bdt-ep-accordion-lesson-4-innovations-in-ai\" data-accordion-index=\"3\" data-title=\"lesson-4-innovations-in-ai\" role=\"heading\">\r\n\r\n                                                            <span class=\"bdt-ep-accordion-icon bdt-flex-align-right\" aria-hidden=\"true\">\r\n\r\n                                                                            <span class=\"bdt-ep-accordion-icon-closed\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-down\"><\/i>                                        <\/span>\r\n                                    \r\n                                                                            <span class=\"bdt-ep-accordion-icon-opened\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-up\"><\/i>                                        <\/span>\r\n                                    \r\n                                <\/span>\r\n                            \r\n                            <span class=\"bdt-ep-title-text bdt-flex bdt-flex-middle\">\r\n\r\n                                                                Lesson 4: Innovations in AI                            <\/span>\r\n\r\n                        <\/div>\r\n                        <div class=\"bdt-ep-accordion-content bdt-accordion-content\">\r\n                            <div><div><p style=\"text-align: left;\">In this lesson, students explore an application of AI called Seeing AI and examine how it is supporting people with visual impairments. Then, students research other examples of how AI is impacting society, focusing on users who are impacted by the examples they find. Finally, students share their findings with each other.<\/p><p style=\"text-align: left;\"><strong>Question of the Day:<\/strong> How is AI helping to solve problems around the world?<\/p><\/div><\/div>                        <\/div>\r\n                    <\/div>\r\n                                    <div class=\"bdt-ep-accordion-item\">\r\n                        <div class=\"bdt-ep-accordion-title bdt-accordion-title bdt-flex bdt-flex-middle bdt-flex-between\" id=\"bdt-ep-accordion-lesson-5-patterns-in-data\" data-accordion-index=\"4\" data-title=\"lesson-5-patterns-in-data\" role=\"heading\">\r\n\r\n                                                            <span class=\"bdt-ep-accordion-icon bdt-flex-align-right\" aria-hidden=\"true\">\r\n\r\n                                                                            <span class=\"bdt-ep-accordion-icon-closed\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-down\"><\/i>                                        <\/span>\r\n                                    \r\n                                                                            <span class=\"bdt-ep-accordion-icon-opened\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-up\"><\/i>                                        <\/span>\r\n                                    \r\n                                <\/span>\r\n                            \r\n                            <span class=\"bdt-ep-title-text bdt-flex bdt-flex-middle\">\r\n\r\n                                                                Lesson 5: Patterns in Data                            <\/span>\r\n\r\n                        <\/div>\r\n                        <div class=\"bdt-ep-accordion-content bdt-accordion-content\">\r\n                            <div><div><p style=\"text-align: left;\">In this lesson students will examine several apps that make decisions about what shoes to wear, ultimately building up to an understanding of how machine learning can help make this decision. Students are guided to the conclusion that surveying their users can help them make the best decision by looking for patterns in the data and basing their decisions on these patterns.<\/p><p style=\"text-align: left;\"><strong>Question of the Day:<\/strong> What strategies do computer models use to make decisions?<\/p><\/div><\/div>                        <\/div>\r\n                    <\/div>\r\n                                    <div class=\"bdt-ep-accordion-item\">\r\n                        <div class=\"bdt-ep-accordion-title bdt-accordion-title bdt-flex bdt-flex-middle bdt-flex-between\" id=\"bdt-ep-accordion-lesson-6-classification-models\" data-accordion-index=\"5\" data-title=\"lesson-6-classification-models\" role=\"heading\">\r\n\r\n                                                            <span class=\"bdt-ep-accordion-icon bdt-flex-align-right\" aria-hidden=\"true\">\r\n\r\n                                                                            <span class=\"bdt-ep-accordion-icon-closed\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-down\"><\/i>                                        <\/span>\r\n                                    \r\n                                                                            <span class=\"bdt-ep-accordion-icon-opened\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-up\"><\/i>                                        <\/span>\r\n                                    \r\n                                <\/span>\r\n                            \r\n                            <span class=\"bdt-ep-title-text bdt-flex bdt-flex-middle\">\r\n\r\n                                                                Lesson 6: Classification Models                            <\/span>\r\n\r\n                        <\/div>\r\n                        <div class=\"bdt-ep-accordion-content bdt-accordion-content\">\r\n                            <div><div><p style=\"text-align: left;\">In this lesson students will participate in an unplugged activity simulating one of the machine learning algorithms computers use to separate data into groups to help make decisions. Students will be tasked with helping a computer learn to classify food as fruits or vegetables, graph 20 different fruits on two axes comparing \u201csweetness\u201d to \u201ceasy to eat\u201d, and then try to separate the data into groups &#8211; a fruit area, and a veggie area.<\/p><p style=\"text-align: left;\"><strong>Question of the Day:<\/strong> How do computers learn to classify data?<\/p><\/div><\/div>                        <\/div>\r\n                    <\/div>\r\n                                    <div class=\"bdt-ep-accordion-item\">\r\n                        <div class=\"bdt-ep-accordion-title bdt-accordion-title bdt-flex bdt-flex-middle bdt-flex-between\" id=\"bdt-ep-accordion-lesson-7-introduction-to-ai-lab\" data-accordion-index=\"6\" data-title=\"lesson-7-introduction-to-ai-lab\" role=\"heading\">\r\n\r\n                                                            <span class=\"bdt-ep-accordion-icon bdt-flex-align-right\" aria-hidden=\"true\">\r\n\r\n                                                                            <span class=\"bdt-ep-accordion-icon-closed\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-down\"><\/i>                                        <\/span>\r\n                                    \r\n                                                                            <span class=\"bdt-ep-accordion-icon-opened\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-up\"><\/i>                                        <\/span>\r\n                                    \r\n                                <\/span>\r\n                            \r\n                            <span class=\"bdt-ep-title-text bdt-flex bdt-flex-middle\">\r\n\r\n                                                                Lesson 7: Introduction to AI Lab                            <\/span>\r\n\r\n                        <\/div>\r\n                        <div class=\"bdt-ep-accordion-content bdt-accordion-content\">\r\n                            <div><div><p style=\"text-align: left;\">In this lesson students will dive into the AI Lab tool for the first time, where they select features to train a model that predicts a given label. They start by exploring AI Lab and training a model to recognize shapes. Then they pretend they have been hired by several restaurants who would like to make recommendations to new customers based on survey data they\u2019re collected, go through each dataset, and use data visualization tools to identify features with high relationships in the data.<\/p><p style=\"text-align: left;\"><strong>Question of the Day:<\/strong> How can we use machine learning to make recommendations?<\/p><\/div><\/div>                        <\/div>\r\n                    <\/div>\r\n                                    <div class=\"bdt-ep-accordion-item\">\r\n                        <div class=\"bdt-ep-accordion-title bdt-accordion-title bdt-flex bdt-flex-middle bdt-flex-between\" id=\"bdt-ep-accordion-lesson-8-importing-models-in-app-lab\" data-accordion-index=\"7\" data-title=\"lesson-8-importing-models-in-app-lab\" role=\"heading\">\r\n\r\n                                                            <span class=\"bdt-ep-accordion-icon bdt-flex-align-right\" aria-hidden=\"true\">\r\n\r\n                                                                            <span class=\"bdt-ep-accordion-icon-closed\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-down\"><\/i>                                        <\/span>\r\n                                    \r\n                                                                            <span class=\"bdt-ep-accordion-icon-opened\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-up\"><\/i>                                        <\/span>\r\n                                    \r\n                                <\/span>\r\n                            \r\n                            <span class=\"bdt-ep-title-text bdt-flex bdt-flex-middle\">\r\n\r\n                                                                Lesson 8: Importing Models in App Lab                            <\/span>\r\n\r\n                        <\/div>\r\n                        <div class=\"bdt-ep-accordion-content bdt-accordion-content\">\r\n                            <div><div><p style=\"text-align: left;\">In this lesson students are introduced to importing their models into App Lab and linking their model to their screens. They help create a book recommendation app and learn how to add a welcome screen and events to their code. This lesson assumes students are already familiar with App Lab &#8211; for classrooms that have not seen App Lab before, consider extending this lesson and including additional videos or activities that are recommended in the lesson plan.<\/p><p style=\"text-align: left;\"><strong>Question of the Day:<\/strong> How can I create an app using machine learning?<\/p><\/div><\/div>                        <\/div>\r\n                    <\/div>\r\n                                    <div class=\"bdt-ep-accordion-item\">\r\n                        <div class=\"bdt-ep-accordion-title bdt-accordion-title bdt-flex bdt-flex-middle bdt-flex-between\" id=\"bdt-ep-accordion-lesson-9-model-cards\" data-accordion-index=\"8\" data-title=\"lesson-9-model-cards\" role=\"heading\">\r\n\r\n                                                            <span class=\"bdt-ep-accordion-icon bdt-flex-align-right\" aria-hidden=\"true\">\r\n\r\n                                                                            <span class=\"bdt-ep-accordion-icon-closed\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-down\"><\/i>                                        <\/span>\r\n                                    \r\n                                                                            <span class=\"bdt-ep-accordion-icon-opened\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-up\"><\/i>                                        <\/span>\r\n                                    \r\n                                <\/span>\r\n                            \r\n                            <span class=\"bdt-ep-title-text bdt-flex bdt-flex-middle\">\r\n\r\n                                                                Lesson 9: Model Cards                            <\/span>\r\n\r\n                        <\/div>\r\n                        <div class=\"bdt-ep-accordion-content bdt-accordion-content\">\r\n                            <div><div><p style=\"text-align: left;\">In this lesson, students will investigate a model for bias and be introduced to a Model Card, which is a way of representing important information about a trained model that could help uncover bias. They will be investigating a Medical Priority app, which helps a hospital decide how soon to view patients based on their symptoms. As students go through the activity, they realize that the app is biased based on personal information and examine how this could happen.<\/p><p style=\"text-align: left;\"><strong>Question of the Day:<\/strong> How can we evaluate machine learning models once they&#8217;ve been trained?<\/p><\/div><\/div>                        <\/div>\r\n                    <\/div>\r\n                                    <div class=\"bdt-ep-accordion-item\">\r\n                        <div class=\"bdt-ep-accordion-title bdt-accordion-title bdt-flex bdt-flex-middle bdt-flex-between\" id=\"bdt-ep-accordion-lesson-10-saving-models-in-ai-lab\" data-accordion-index=\"9\" data-title=\"lesson-10-saving-models-in-ai-lab\" role=\"heading\">\r\n\r\n                                                            <span class=\"bdt-ep-accordion-icon bdt-flex-align-right\" aria-hidden=\"true\">\r\n\r\n                                                                            <span class=\"bdt-ep-accordion-icon-closed\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-down\"><\/i>                                        <\/span>\r\n                                    \r\n                                                                            <span class=\"bdt-ep-accordion-icon-opened\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-up\"><\/i>                                        <\/span>\r\n                                    \r\n                                <\/span>\r\n                            \r\n                            <span class=\"bdt-ep-title-text bdt-flex bdt-flex-middle\">\r\n\r\n                                                                Lesson 10: Saving Models in AI Lab                            <\/span>\r\n\r\n                        <\/div>\r\n                        <div class=\"bdt-ep-accordion-content bdt-accordion-content\">\r\n                            <div><div><p style=\"text-align: left;\">Students complete the full process of training and saving a model, then importing into App Lab. For the first time, students are able to choose the label they would like to predict and spend time deciding the features they will use to help predict their label of choice. Students also create a model card for their models in order to save them and import it into App Lab<\/p><p style=\"text-align: left;\"><strong>Question of the Day:<\/strong> How can I use Model Cards to document my decisions when training a machine learning model?<\/p><\/div><\/div>                        <\/div>\r\n                    <\/div>\r\n                                    <div class=\"bdt-ep-accordion-item\">\r\n                        <div class=\"bdt-ep-accordion-title bdt-accordion-title bdt-flex bdt-flex-middle bdt-flex-between\" id=\"bdt-ep-accordion-lesson-11-model-cards-in-app-lab\" data-accordion-index=\"10\" data-title=\"lesson-11-model-cards-in-app-lab\" role=\"heading\">\r\n\r\n                                                            <span class=\"bdt-ep-accordion-icon bdt-flex-align-right\" aria-hidden=\"true\">\r\n\r\n                                                                            <span class=\"bdt-ep-accordion-icon-closed\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-down\"><\/i>                                        <\/span>\r\n                                    \r\n                                                                            <span class=\"bdt-ep-accordion-icon-opened\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-up\"><\/i>                                        <\/span>\r\n                                    \r\n                                <\/span>\r\n                            \r\n                            <span class=\"bdt-ep-title-text bdt-flex bdt-flex-middle\">\r\n\r\n                                                                Lesson 11: Model Cards in App Lab                            <\/span>\r\n\r\n                        <\/div>\r\n                        <div class=\"bdt-ep-accordion-content bdt-accordion-content\">\r\n                            <div><div><p style=\"text-align: left;\">In this lesson, students practice importing their models into App Lab, this time including models that have numerical data and using model cards to help improve the user experience of filling out their form. They will then learn how to view the model card within App Lab and use this to add more descriptive elements to an app. Next, they focus on improving the user experience by adding informational text to help guide users through completing the form and adding a style to their app to improve the user experience.<\/p><p style=\"text-align: left;\"><strong>Question of the Day:<\/strong> How can I use a Model Card to improve my app?<\/p><\/div><\/div>                        <\/div>\r\n                    <\/div>\r\n                                    <div class=\"bdt-ep-accordion-item\">\r\n                        <div class=\"bdt-ep-accordion-title bdt-accordion-title bdt-flex bdt-flex-middle bdt-flex-between\" id=\"bdt-ep-accordion-lesson-12-numerical-models\" data-accordion-index=\"11\" data-title=\"lesson-12-numerical-models\" role=\"heading\">\r\n\r\n                                                            <span class=\"bdt-ep-accordion-icon bdt-flex-align-right\" aria-hidden=\"true\">\r\n\r\n                                                                            <span class=\"bdt-ep-accordion-icon-closed\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-down\"><\/i>                                        <\/span>\r\n                                    \r\n                                                                            <span class=\"bdt-ep-accordion-icon-opened\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-up\"><\/i>                                        <\/span>\r\n                                    \r\n                                <\/span>\r\n                            \r\n                            <span class=\"bdt-ep-title-text bdt-flex bdt-flex-middle\">\r\n\r\n                                                                Lesson 12: Numerical Models                            <\/span>\r\n\r\n                        <\/div>\r\n                        <div class=\"bdt-ep-accordion-content bdt-accordion-content\">\r\n                            <div><div><p style=\"text-align: left;\">In this lesson, students participate in an unplugged activity simulating a zombie outbreak. Students must predict which parts of town have the least amount of zombies using data from a neighboring town. Students will use degrees of similarity and averages to make predictions about the number of zombies at a particular location. Then, students are rescued and get to compare their predictions to the actual numbers as a way to discuss how accuracy is different for numerical data compared to categorical data.<\/p><p style=\"text-align: left;\"><strong>Question of the Day:<\/strong> How do computers learn to make predictions with numerical data?<\/p><\/div><\/div>                        <\/div>\r\n                    <\/div>\r\n                                    <div class=\"bdt-ep-accordion-item\">\r\n                        <div class=\"bdt-ep-accordion-title bdt-accordion-title bdt-flex bdt-flex-middle bdt-flex-between\" id=\"bdt-ep-accordion-lesson-13-numerical-data-in-ai-lab\" data-accordion-index=\"12\" data-title=\"lesson-13-numerical-data-in-ai-lab\" role=\"heading\">\r\n\r\n                                                            <span class=\"bdt-ep-accordion-icon bdt-flex-align-right\" aria-hidden=\"true\">\r\n\r\n                                                                            <span class=\"bdt-ep-accordion-icon-closed\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-down\"><\/i>                                        <\/span>\r\n                                    \r\n                                                                            <span class=\"bdt-ep-accordion-icon-opened\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-up\"><\/i>                                        <\/span>\r\n                                    \r\n                                <\/span>\r\n                            \r\n                            <span class=\"bdt-ep-title-text bdt-flex bdt-flex-middle\">\r\n\r\n                                                                Lesson 13: Numerical Data in AI Lab                            <\/span>\r\n\r\n                        <\/div>\r\n                        <div class=\"bdt-ep-accordion-content bdt-accordion-content\">\r\n                            <div><div><p style=\"text-align: left;\">In this lesson, students will be introduced to numerical data which represents a range of values. Students are presented with a scenario where every feature and label is represented with numerical data, and they learn to use the new data visualization tools within AI Lab to help find patterns.<\/p><p style=\"text-align: left;\"><strong>Question of the Day:<\/strong> How can we use AI Lab to predict numerical data?<\/p><\/div><\/div>                        <\/div>\r\n                    <\/div>\r\n                                    <div class=\"bdt-ep-accordion-item\">\r\n                        <div class=\"bdt-ep-accordion-title bdt-accordion-title bdt-flex bdt-flex-middle bdt-flex-between\" id=\"bdt-ep-accordion-lesson-14-customizing-apps\" data-accordion-index=\"13\" data-title=\"lesson-14-customizing-apps\" role=\"heading\">\r\n\r\n                                                            <span class=\"bdt-ep-accordion-icon bdt-flex-align-right\" aria-hidden=\"true\">\r\n\r\n                                                                            <span class=\"bdt-ep-accordion-icon-closed\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-down\"><\/i>                                        <\/span>\r\n                                    \r\n                                                                            <span class=\"bdt-ep-accordion-icon-opened\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-up\"><\/i>                                        <\/span>\r\n                                    \r\n                                <\/span>\r\n                            \r\n                            <span class=\"bdt-ep-title-text bdt-flex bdt-flex-middle\">\r\n\r\n                                                                Lesson 14: Customizing Apps                            <\/span>\r\n\r\n                        <\/div>\r\n                        <div class=\"bdt-ep-accordion-content bdt-accordion-content\">\r\n                            <div><div><p style=\"text-align: left;\">In this lesson, students will explore how to customize the code of their app to make additional changes to the design of their app. They will start by exploring a single-screen app and then practice expanding the app to two-screens and updating the code to use the new design mode elements. After this, students help create a Driver Alert app that requires changes to the code using new design mode elements. Using the skills from this lesson, students will be able to create multi-screen apps where questions can appear on multiple screens instead of a single screen.<\/p><p style=\"text-align: left;\"><strong>Question of the Day:<\/strong> How can I customize the code for a machine learning app?<\/p><\/div><\/div>                        <\/div>\r\n                    <\/div>\r\n                                    <div class=\"bdt-ep-accordion-item\">\r\n                        <div class=\"bdt-ep-accordion-title bdt-accordion-title bdt-flex bdt-flex-middle bdt-flex-between\" id=\"bdt-ep-accordion-lesson-15-ai-code-of-ethics\" data-accordion-index=\"14\" data-title=\"lesson-15-ai-code-of-ethics\" role=\"heading\">\r\n\r\n                                                            <span class=\"bdt-ep-accordion-icon bdt-flex-align-right\" aria-hidden=\"true\">\r\n\r\n                                                                            <span class=\"bdt-ep-accordion-icon-closed\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-down\"><\/i>                                        <\/span>\r\n                                    \r\n                                                                            <span class=\"bdt-ep-accordion-icon-opened\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-up\"><\/i>                                        <\/span>\r\n                                    \r\n                                <\/span>\r\n                            \r\n                            <span class=\"bdt-ep-title-text bdt-flex bdt-flex-middle\">\r\n\r\n                                                                Lesson 15: AI Code of Ethics                            <\/span>\r\n\r\n                        <\/div>\r\n                        <div class=\"bdt-ep-accordion-content bdt-accordion-content\">\r\n                            <div><div><p style=\"text-align: left;\">In small groups, students conduct research using articles and videos that expose ethical pitfalls in an Artificial Intelligence (AI) area of their choice. Afterward, each group develops at least one solution-oriented principle that addresses their chosen area. These principles are then assembled into a class-wide \u201cOur AI Code of Ethics\u201d resource (e.g. a slide presentation, document, or webpage) for AI creators and legislators everywhere.<\/p><p style=\"text-align: left;\"><strong>Question of the Day:<\/strong> What are guidelines we can use to create ethical machine learning apps?<\/p><\/div><\/div>                        <\/div>\r\n                    <\/div>\r\n                                    <div class=\"bdt-ep-accordion-item\">\r\n                        <div class=\"bdt-ep-accordion-title bdt-accordion-title bdt-flex bdt-flex-middle bdt-flex-between\" id=\"bdt-ep-accordion-lesson-16-project-make-a-machine-learning-app\" data-accordion-index=\"15\" data-title=\"lesson-16-project-make-a-machine-learning-app\" role=\"heading\">\r\n\r\n                                                            <span class=\"bdt-ep-accordion-icon bdt-flex-align-right\" aria-hidden=\"true\">\r\n\r\n                                                                            <span class=\"bdt-ep-accordion-icon-closed\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-down\"><\/i>                                        <\/span>\r\n                                    \r\n                                                                            <span class=\"bdt-ep-accordion-icon-opened\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-up\"><\/i>                                        <\/span>\r\n                                    \r\n                                <\/span>\r\n                            \r\n                            <span class=\"bdt-ep-title-text bdt-flex bdt-flex-middle\">\r\n\r\n                                                                Lesson 16: Project: Make a Machine Learning App                            <\/span>\r\n\r\n                        <\/div>\r\n                        <div class=\"bdt-ep-accordion-content bdt-accordion-content\">\r\n                            <div><div><p style=\"text-align: left;\">In this one or two day project, students apply their skills from the unit so far and create a machine learning app using real-world data. Students are provided with several real-world datasets from a variety of contexts, and they choose which dataset they would like to investigate. They train and save their model, then make a simple App Lab app that uses the model. This mini-project is an opportunity to assess how well students can use features to create accurate machine learning models, and how well they can create apps that use machine learning.<\/p><p style=\"text-align: left;\"><strong>Question of the Day:<\/strong> Can I use real-world data to create an app that uses machine learning?<\/p><\/div><\/div>                        <\/div>\r\n                    <\/div>\r\n                                    <div class=\"bdt-ep-accordion-item\">\r\n                        <div class=\"bdt-ep-accordion-title bdt-accordion-title bdt-flex bdt-flex-middle bdt-flex-between\" id=\"bdt-ep-accordion-lesson-17-issue-statements\" data-accordion-index=\"16\" data-title=\"lesson-17-issue-statements\" role=\"heading\">\r\n\r\n                                                            <span class=\"bdt-ep-accordion-icon bdt-flex-align-right\" aria-hidden=\"true\">\r\n\r\n                                                                            <span class=\"bdt-ep-accordion-icon-closed\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-down\"><\/i>                                        <\/span>\r\n                                    \r\n                                                                            <span class=\"bdt-ep-accordion-icon-opened\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-up\"><\/i>                                        <\/span>\r\n                                    \r\n                                <\/span>\r\n                            \r\n                            <span class=\"bdt-ep-title-text bdt-flex bdt-flex-middle\">\r\n\r\n                                                                Lesson 17: Issue Statements                            <\/span>\r\n\r\n                        <\/div>\r\n                        <div class=\"bdt-ep-accordion-content bdt-accordion-content\">\r\n                            <p style=\"text-align: left;\">This is the first of a five-day sequence of lessons that prepare students for the final project. In this lesson, students meet a team of fictional students who want to use machine learning to address an issue in their community. Students participate in an issue brainstorm using the 5 Why&#8217;s strategy, then they help evaluate the ideas that the other student team came up with. The steps students take in this lesson are identical to the steps students will take in their final project.<\/p><p style=\"text-align: left;\"><strong>Question of the Day:<\/strong> How can machine learning be used to address an issue in your community?<br \/>This lesson contains no levels.<\/p>                        <\/div>\r\n                    <\/div>\r\n                                    <div class=\"bdt-ep-accordion-item\">\r\n                        <div class=\"bdt-ep-accordion-title bdt-accordion-title bdt-flex bdt-flex-middle bdt-flex-between\" id=\"bdt-ep-accordion-lesson-18-survey-planning\" data-accordion-index=\"17\" data-title=\"lesson-18-survey-planning\" role=\"heading\">\r\n\r\n                                                            <span class=\"bdt-ep-accordion-icon bdt-flex-align-right\" aria-hidden=\"true\">\r\n\r\n                                                                            <span class=\"bdt-ep-accordion-icon-closed\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-down\"><\/i>                                        <\/span>\r\n                                    \r\n                                                                            <span class=\"bdt-ep-accordion-icon-opened\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-up\"><\/i>                                        <\/span>\r\n                                    \r\n                                <\/span>\r\n                            \r\n                            <span class=\"bdt-ep-title-text bdt-flex bdt-flex-middle\">\r\n\r\n                                                                Lesson 18: Survey Planning                            <\/span>\r\n\r\n                        <\/div>\r\n                        <div class=\"bdt-ep-accordion-content bdt-accordion-content\">\r\n                            <div><div><p style=\"text-align: left;\">This is the second in a five-day sequence of lessons that prepare students for the final project. In this lesson, students learn that the other team of students would like to create a club recommender app based on the clubs at their school. Students imagine what questions would be most useful to help make this recommendation, then they learn how to use a Google Form template to create a survey. The steps students take in this lesson are identical to the steps students will take in their final project.<\/p><p style=\"text-align: left;\"><strong>Question of the Day:<\/strong> How can I create a survey to gather data for a machine learning app?<\/p><\/div><\/div>                        <\/div>\r\n                    <\/div>\r\n                                    <div class=\"bdt-ep-accordion-item\">\r\n                        <div class=\"bdt-ep-accordion-title bdt-accordion-title bdt-flex bdt-flex-middle bdt-flex-between\" id=\"bdt-ep-accordion-lesson-19-survey-data-in-ai-lab\" data-accordion-index=\"18\" data-title=\"lesson-19-survey-data-in-ai-lab\" role=\"heading\">\r\n\r\n                                                            <span class=\"bdt-ep-accordion-icon bdt-flex-align-right\" aria-hidden=\"true\">\r\n\r\n                                                                            <span class=\"bdt-ep-accordion-icon-closed\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-down\"><\/i>                                        <\/span>\r\n                                    \r\n                                                                            <span class=\"bdt-ep-accordion-icon-opened\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-up\"><\/i>                                        <\/span>\r\n                                    \r\n                                <\/span>\r\n                            \r\n                            <span class=\"bdt-ep-title-text bdt-flex bdt-flex-middle\">\r\n\r\n                                                                Lesson 19: Survey Data in AI Lab                            <\/span>\r\n\r\n                        <\/div>\r\n                        <div class=\"bdt-ep-accordion-content bdt-accordion-content\">\r\n                            <div><div><p style=\"text-align: left;\">This is the third in a five-day sequence of lessons that prepare students for the final project. In this lesson, students learn how to view survey data in Google Sheets and save the data to their computer as a csv file. Then, they upload the saved data to AI Lab and examine the survey results from one of the students to train a model using their data. Then, students use Google Sheets to examine data from another student where the data has errors and then try to fix the errors. The steps students take in this lesson are identical to the steps students will take in their final project, and the problem-solving strategies they develop will help them overcome challenges in their own final project.<\/p><p style=\"text-align: left;\"><strong>Question of the Day<\/strong>: How can I import data into AI Lab to train a machine learning model?<\/p><\/div><\/div>                        <\/div>\r\n                    <\/div>\r\n                                    <div class=\"bdt-ep-accordion-item\">\r\n                        <div class=\"bdt-ep-accordion-title bdt-accordion-title bdt-flex bdt-flex-middle bdt-flex-between\" id=\"bdt-ep-accordion-lesson-20-troubleshooting-models\" data-accordion-index=\"19\" data-title=\"lesson-20-troubleshooting-models\" role=\"heading\">\r\n\r\n                                                            <span class=\"bdt-ep-accordion-icon bdt-flex-align-right\" aria-hidden=\"true\">\r\n\r\n                                                                            <span class=\"bdt-ep-accordion-icon-closed\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-down\"><\/i>                                        <\/span>\r\n                                    \r\n                                                                            <span class=\"bdt-ep-accordion-icon-opened\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-up\"><\/i>                                        <\/span>\r\n                                    \r\n                                <\/span>\r\n                            \r\n                            <span class=\"bdt-ep-title-text bdt-flex bdt-flex-middle\">\r\n\r\n                                                                Lesson 20: Troubleshooting Models                            <\/span>\r\n\r\n                        <\/div>\r\n                        <div class=\"bdt-ep-accordion-content bdt-accordion-content\">\r\n                            <div><div><p style=\"text-align: left;\">This is the fourth of a five-day sequence of lessons that prepare students for the final project. In this lesson, students examine survey data from other members of the student team and analyze why their models are not working correctly. In examining the data, students develop strategies for avoiding these issues in the future and strategies for coping with these issues should they happen again. These are skills students will use in the final project as they develop their own surveys and collect data.<\/p><p style=\"text-align: left;\"><strong>Question of the Day<\/strong>: What are strategies to make sure our data generates an accurate model?<\/p><\/div><\/div>                        <\/div>\r\n                    <\/div>\r\n                                    <div class=\"bdt-ep-accordion-item\">\r\n                        <div class=\"bdt-ep-accordion-title bdt-accordion-title bdt-flex bdt-flex-middle bdt-flex-between\" id=\"bdt-ep-accordion-lesson-21-creating-an-app\" data-accordion-index=\"20\" data-title=\"lesson-21-creating-an-app\" role=\"heading\">\r\n\r\n                                                            <span class=\"bdt-ep-accordion-icon bdt-flex-align-right\" aria-hidden=\"true\">\r\n\r\n                                                                            <span class=\"bdt-ep-accordion-icon-closed\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-down\"><\/i>                                        <\/span>\r\n                                    \r\n                                                                            <span class=\"bdt-ep-accordion-icon-opened\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-up\"><\/i>                                        <\/span>\r\n                                    \r\n                                <\/span>\r\n                            \r\n                            <span class=\"bdt-ep-title-text bdt-flex bdt-flex-middle\">\r\n\r\n                                                                Lesson 21: Creating an App                            <\/span>\r\n\r\n                        <\/div>\r\n                        <div class=\"bdt-ep-accordion-content bdt-accordion-content\">\r\n                            <div><div><p style=\"text-align: left;\">This is the fifth of a five-day sequence of lessons that prepare students for the final project. In this lesson, students import the club recommender app into App Lab and begin customizing the app. Students add a welcome screen and update the descriptions of each feature, then they can decide how they would like to further customize the app. The steps students take in this lesson are identical to the steps students will take in their final project.<\/p><p style=\"text-align: left;\"><strong>Question of the Day<\/strong>: How can I create a friendly, easy-to-use machine learning app?<\/p><\/div><\/div>                        <\/div>\r\n                    <\/div>\r\n                                    <div class=\"bdt-ep-accordion-item\">\r\n                        <div class=\"bdt-ep-accordion-title bdt-accordion-title bdt-flex bdt-flex-middle bdt-flex-between\" id=\"bdt-ep-accordion-lesson-22-project-design-an-ai-app\" data-accordion-index=\"21\" data-title=\"lesson-22-project-design-an-ai-app\" role=\"heading\">\r\n\r\n                                                            <span class=\"bdt-ep-accordion-icon bdt-flex-align-right\" aria-hidden=\"true\">\r\n\r\n                                                                            <span class=\"bdt-ep-accordion-icon-closed\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-down\"><\/i>                                        <\/span>\r\n                                    \r\n                                                                            <span class=\"bdt-ep-accordion-icon-opened\">\r\n                                            <i aria-hidden=\"true\" class=\"fa-fw fas fa-chevron-up\"><\/i>                                        <\/span>\r\n                                    \r\n                                <\/span>\r\n                            \r\n                            <span class=\"bdt-ep-title-text bdt-flex bdt-flex-middle\">\r\n\r\n                                                                Lesson 22: Project - Design an AI App                            <\/span>\r\n\r\n                        <\/div>\r\n                        <div class=\"bdt-ep-accordion-content bdt-accordion-content\">\r\n                            <p style=\"text-align: left;\">Accordion C<\/p><div style=\"text-align: left;\"><div><p>To conclude this unit, students develop an AI app that addresses the social issue of their interest. Students follow a project guide to complete this multi-day activity. In the first step, students prepare the data they will use to train their model in AI Lab. After training, testing, and generating a model card, they export their model into App Lab for development. Here they use their model to create a user-friendly app. Students perform a peer review and make any necessary updates to their projects while reflecting on the outcome.<\/p><p><strong>Question of the Day:<\/strong> How can I create an AI App the solves a problem in my community?<\/p><\/div><\/div><p style=\"text-align: left;\">ontent<\/p>                        <\/div>\r\n                    <\/div>\r\n                            <\/div>\r\n        <\/div>\r\n    \t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-inner-column elementor-element elementor-element-0dc80a8\" data-id=\"0dc80a8\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>AI and Machine Learning Overview The AI and Machine Learning unit is a hands-on introduction to developing a machine learning model with tabular data. Students explore how computers learn from data to make decisions, then develop machine learning projects around real-world data. The unit culminates in designing a machine learning app to solve a personally &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"https:\/\/code.com.cy\/el\/ai-and-machine-learning\/\"> <span class=\"screen-reader-text\">AI and Machine Learning<\/span> \u0394\u03b9\u03b1\u03b2\u03ac\u03c3\u03c4\u03b5 \u03a0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b1 &raquo;<\/a><\/p>","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"site-sidebar-layout":"no-sidebar","site-content-layout":"page-builder","ast-global-header-display":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","footnotes":""},"class_list":["post-2122","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.13 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>AI and Machine Learning - Code School Cyprus<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/code.com.cy\/el\/ai-and-machine-learning\/\" \/>\n<meta property=\"og:locale\" content=\"el_GR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI and Machine Learning - Code School Cyprus\" \/>\n<meta property=\"og:description\" content=\"AI and Machine Learning Overview The AI and Machine Learning unit is a hands-on introduction to developing a machine learning model with tabular data. 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