{"id":11828,"date":"2023-10-26T07:08:05","date_gmt":"2023-10-26T07:08:05","guid":{"rendered":"https:\/\/dsrc.haifa.ac.il\/?page_id=11828"},"modified":"2023-10-29T07:28:21","modified_gmt":"2023-10-29T07:28:21","slug":"data-science-summer-school-2023","status":"publish","type":"page","link":"https:\/\/dsrc.haifa.ac.il\/?page_id=11828","title":{"rendered":"Course &#8211; Data Science Summer School\u00a02023"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"11828\" class=\"elementor elementor-11828\" data-elementor-post-type=\"page\">\n\t\t\t\t\t\t<section data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-section elementor-top-section elementor-element elementor-element-57a51e6 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"57a51e6\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;jet_parallax_layout_list&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-c4438e4\" data-id=\"c4438e4\" data-element_type=\"column\" data-e-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-c24aae9 elementor-widget elementor-widget-heading\" data-id=\"c24aae9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">Introduction to Data Science\n\n<\/h1>\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 data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-section elementor-top-section elementor-element elementor-element-3356d4d elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3356d4d\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;jet_parallax_layout_list&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-741f7c7\" data-id=\"741f7c7\" data-element_type=\"column\" data-e-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-6996a17 elementor-invisible elementor-widget elementor-widget-toggle\" data-id=\"6996a17\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;motion_fx_motion_fx_scrolling&quot;:&quot;yes&quot;,&quot;_animation&quot;:&quot;fadeIn&quot;,&quot;motion_fx_devices&quot;:[&quot;desktop&quot;,&quot;tablet&quot;,&quot;mobile&quot;]}\" data-widget_type=\"toggle.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1101\" class=\"elementor-tab-title\" data-tab=\"1\" role=\"button\" aria-controls=\"elementor-tab-content-1101\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-arrow-down\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-arrow-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">Introduction and EDA<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1101\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"region\" aria-labelledby=\"elementor-tab-title-1101\"><p><span class=\"fontstyle1\">1. Understand <\/span><span class=\"fontstyle3\">basic concepts <\/span><span class=\"fontstyle1\">in data science and machine learning.<\/span><\/p><p><span class=\"fontstyle1\">2. Be able to apply these methods, using programming, to scientific problems.<\/span><\/p><p><span class=\"fontstyle1\">This course is at basic level. It assumes some knowledge in stats and programming. We will generally limit the theory and math to a minimum.<\/span><\/p><h4><span style=\"text-decoration: underline;\"><a href=\"https:\/\/drive.google.com\/file\/d\/1Js17KmzGGfTlyuMCx1s2FlSpgGZbucXH\/view?usp=drive_link\">Presentation<\/a><\/span><\/h4><h4><span style=\"text-decoration: underline;\"><a href=\"https:\/\/drive.google.com\/drive\/folders\/1LTJZml6Q8zIFRj3iXBH6LPM7zpTYfe2i?usp=drive_link\">Visualization practice files<\/a><\/span><\/h4><h4><span style=\"text-decoration: underline;\"><a href=\"https:\/\/drive.google.com\/drive\/folders\/1lvxogRH62FxI8FoDOV96CLUKXItMgvjF?usp=drive_link\">EDA practice files<\/a><\/span><\/h4><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1102\" class=\"elementor-tab-title\" data-tab=\"2\" role=\"button\" aria-controls=\"elementor-tab-content-1102\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-arrow-down\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-arrow-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">Time series<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1102\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"2\" role=\"region\" aria-labelledby=\"elementor-tab-title-1102\"><p><span class=\"fontstyle2\">\u2022 <\/span><span class=\"fontstyle0\">What is a time series?<\/span><\/p><p><span class=\"fontstyle2\">\u2022 <\/span><span class=\"fontstyle0\">A complex dataset changing through time: daily<\/span><\/p><p><span class=\"fontstyle0\">cycle of gene expression<\/span><\/p><p><span class=\"fontstyle2\">\u2022 <\/span><span class=\"fontstyle0\">How do changing environmental conditions affect <\/span><span class=\"fontstyle0\">a bacterial community structure?<\/span><\/p><p><span class=\"fontstyle2\">\u2022 <\/span><span class=\"fontstyle0\">Identifying breakpoints in a time-series<\/span><\/p><h4><span style=\"text-decoration: underline;\"><a href=\"https:\/\/drive.google.com\/file\/d\/1JvqDjjPX0R-4aQkQMa46WojdtoeB3ylE\/view?usp=drive_link\">Presentation<\/a><\/span><\/h4><h4><span style=\"text-decoration: underline;\"><a href=\"https:\/\/drive.google.com\/drive\/folders\/1yVRGLlv_CaSL5ixWv6iUUhWBFeq1zH_6?usp=drive_link\">TSA practice files<\/a><\/span><\/h4><h4><span style=\"text-decoration: underline;\"><a href=\"https:\/\/drive.google.com\/file\/d\/1JnHteS-StTFxlNic6nryyj8vZ5d8epOi\/view?usp=drive_link\">Time-Series-tutorial<\/a><\/span><\/h4><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1103\" class=\"elementor-tab-title\" data-tab=\"3\" role=\"button\" aria-controls=\"elementor-tab-content-1103\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-arrow-down\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-arrow-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">Regression & Optimization<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1103\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"3\" role=\"region\" aria-labelledby=\"elementor-tab-title-1103\"><h4><span style=\"text-decoration: underline;\"><a href=\"https:\/\/drive.google.com\/file\/d\/16I4ERE_nvej6QCaR3JCKVsVekXquBhQY\/view?usp=drive_link\">Presentation<\/a><\/span><\/h4><h4><span style=\"text-decoration: underline;\"><a href=\"https:\/\/drive.google.com\/drive\/folders\/1YVSwaOYiqlUtU-FhaWrKTzzna6T-op66?usp=drive_link\">Regression &amp; Optimization practice files<\/a><\/span><\/h4><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1104\" class=\"elementor-tab-title\" data-tab=\"4\" role=\"button\" aria-controls=\"elementor-tab-content-1104\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-arrow-down\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-arrow-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">Clustering & Classification - part I<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1104\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"4\" role=\"region\" aria-labelledby=\"elementor-tab-title-1104\"><h4><span style=\"text-decoration: underline;\"><a href=\"https:\/\/drive.google.com\/file\/d\/1fLMl1-l56ogQGNYcRjz-93m6s5diJR0N\/view?usp=drive_link\">Intro to classification &amp; clustering &#8211; Presentation<\/a><\/span><\/h4><h4><span style=\"text-decoration: underline;\"><a href=\"https:\/\/drive.google.com\/file\/d\/1EYQYhhnhhVecaxIfiEjiw2JpieJFCGzL\/view?usp=drive_link\">Clusters and Classification &#8211; Presentation<\/a><\/span><\/h4><h4><span style=\"text-decoration: underline;\"><a href=\"https:\/\/drive.google.com\/drive\/folders\/1yLN_9C1pRDihAusmiX4sEzogdOXPOMla?usp=drive_link\">Tutorials<\/a><\/span><\/h4><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1105\" class=\"elementor-tab-title\" data-tab=\"5\" role=\"button\" aria-controls=\"elementor-tab-content-1105\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-arrow-down\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-arrow-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">Clustering and classification - part II<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1105\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"5\" role=\"region\" aria-labelledby=\"elementor-tab-title-1105\"><h4><span style=\"text-decoration: underline;\"><a href=\"https:\/\/drive.google.com\/file\/d\/1Wmbm0rEJ59L2fe-aQxnQMlMKJR0AUWff\/view?usp=drive_link\">Classification: Decision Trees &#8211; Presentation<\/a><\/span><\/h4><h4><span style=\"text-decoration: underline;\"><a href=\"https:\/\/docs.google.com\/presentation\/d\/1ndDVrESMpTYtu8VRssegmTNt_HKcjmhd\/edit?usp=drive_link&amp;ouid=116047041201271572083&amp;rtpof=true&amp;sd=true\">Clustering &#8211; Presentation<\/a><\/span><\/h4><h4><span style=\"text-decoration: underline;\"><a href=\"https:\/\/drive.google.com\/drive\/folders\/1qs8kkVkCM7SwqUAE96G9P8Jir09qhSQq?usp=drive_link\">Tutorials<\/a><\/span><\/h4><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1106\" class=\"elementor-tab-title\" data-tab=\"6\" role=\"button\" aria-controls=\"elementor-tab-content-1106\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-arrow-down\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-arrow-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">Model selection<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1106\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"6\" role=\"region\" aria-labelledby=\"elementor-tab-title-1106\"><h4><span style=\"text-decoration: underline;\"><a href=\"https:\/\/drive.google.com\/file\/d\/1qMPeiqvmYtn5cbBo4pVYn_zsETAsBxUU\/view?usp=drive_link\">Model Selection &#8211; Presentation<\/a><\/span><\/h4><h4><span style=\"text-decoration: underline;\"><a href=\"https:\/\/drive.google.com\/drive\/folders\/1OUJo_3u846Wl2tSSjq9dH2g4Tf2zl_nL?usp=drive_link\">Regularization &#8211; Practice files<\/a><\/span><\/h4><h4><span style=\"text-decoration: underline;\"><a href=\"https:\/\/drive.google.com\/drive\/folders\/1-ED13Pm9lXRu_G-9hBmM0xnGenoSuhxK?usp=drive_link\">Cross Validation &#8211; Practice files<\/a><\/span><\/h4><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1107\" class=\"elementor-tab-title\" data-tab=\"7\" role=\"button\" aria-controls=\"elementor-tab-content-1107\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-arrow-down\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-arrow-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">Dimensionality Reduction<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1107\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"7\" role=\"region\" aria-labelledby=\"elementor-tab-title-1107\"><h4><span style=\"text-decoration: underline;\"><a href=\"https:\/\/docs.google.com\/presentation\/d\/1f9df31cQt4QPI21T0oMQcaKp7w7UrKXY\/edit?usp=drive_link&amp;ouid=116047041201271572083&amp;rtpof=true&amp;sd=true\">Text as a vector representation &#8211; Presentation<\/a><\/span><\/h4><h4><span style=\"text-decoration: underline;\"><a href=\"https:\/\/docs.google.com\/presentation\/d\/1--nZef10r4ESTXR6RpLgYynvPj2bSVWD\/edit?usp=drive_link&amp;ouid=116047041201271572083&amp;rtpof=true&amp;sd=true\">Dimensionality reduction &#8211; Presentation<\/a><\/span><\/h4><h4><span style=\"text-decoration: underline;\"><a href=\"https:\/\/drive.google.com\/drive\/folders\/1OowB39_S4PPOvfEPUonIASraGzHT0Uky?usp=drive_link\">Practice files<\/a><\/span><\/h4><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1108\" class=\"elementor-tab-title\" data-tab=\"8\" role=\"button\" aria-controls=\"elementor-tab-content-1108\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-arrow-down\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-arrow-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">NVIDIA endorsed DLI Course \u201cFundamentals of Deep Learning\u201d - Pre-Workshop Preparations<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1108\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"8\" role=\"region\" aria-labelledby=\"elementor-tab-title-1108\"><p>Welcome for the first NVIDIA endorsed DLI Course \u201cFundamentals of Deep Learning\u201d hosted by the Data Science Research Center (<span style=\"text-decoration: underline;\"><a href=\"https:\/\/dsrc.haifa.ac.il\/\">DSRC<\/a><\/span>) of Haifa University.<\/p><p>This course is hosted by NVIDIA, and uses a specialized platform for the lectures and hands-on exercises. To prepare for the workshop, please do the following:<\/p><ol><li>Create an NVIDIA account at (<span style=\"text-decoration: underline;\"><a href=\"https:\/\/eu-central-1.protection.sophos.com?d=nvidia.com&amp;u=aHR0cDovL2NvdXJzZXMubnZpZGlhLmNvbS9qb2lu&amp;p=m&amp;i=NjQxYjA4MzYzOGEwMTM3M2QzZThkMTVi&amp;t=bjhtRnRCTTdkMzNpaGlWUnJWSXhEalhGQkVYVUtZdlQ5V2RvZS95bUUxWT0=&amp;h=5d9eaaedf7cc41f9a9d7a81bcc6ca2af&amp;s=AVNPUEhUT0NFTkNSWVBUSVbvtfomHBNCXGi9-UmFwtE9nw_4rRse0Okv-899_EQDLw\">http:\/\/courses.nvidia.com\/join<\/a><\/span>)<\/li><li>Test your laptop (<span style=\"text-decoration: underline;\"><a href=\"http:\/\/websocketstest.courses.nvidia.com\/\">http:\/\/websocketstest.courses.nvidia.com\/<\/a><\/span>)<\/li><li>Review the course datasheet to become familiar with Prerequisites, Learning Objectives, and Agenda Outline. These can be found here: <span style=\"text-decoration: underline;\"><a href=\"https:\/\/eu-central-1.protection.sophos.com?d=nvidia.com&amp;u=aHR0cHM6Ly93d3cubnZpZGlhLmNvbS9jb250ZW50L2RhbS9lbi16ei9Tb2x1dGlvbnMvZGVlcC1sZWFybmluZy9kZWVwLWxlYXJuaW5nLWVkdWNhdGlvbi9kbGktZnVuZGFtZW50YWxzLW9mLWRlZXAtbGVhcm5pbmctMTM2OTgyOC1yMy13ZWIucGRm&amp;p=m&amp;i=NjQxYjA4MzYzOGEwMTM3M2QzZThkMTVi&amp;t=a0VPZlRPTXN3aE1Oa0w2UWZKaHZZYkY3MEFxUFRGb1l3cU1PdWY2REkvOD0=&amp;h=5d9eaaedf7cc41f9a9d7a81bcc6ca2af&amp;s=AVNPUEhUT0NFTkNSWVBUSVbvtfomHBNCXGi9-UmFwtE9nw_4rRse0Okv-899_EQDLw\" data-wplink-url-error=\"true\">Fundamentals of Deep Learning<\/a><\/span><\/li><\/ol><p>* These instructions can also be found at <span style=\"text-decoration: underline;\"><a href=\"https:\/\/eu-central-1.protection.sophos.com?d=nvidia.com&amp;u=aHR0cHM6Ly9kZXZlbG9wZXIubnZpZGlhLmNvbS9kbGkvZ2V0cmVhZHk=&amp;p=m&amp;i=NjQxYjA4MzYzOGEwMTM3M2QzZThkMTVi&amp;t=MVYzZFFTTlliVFJQZ21vRW1XQjJlNTVwYmRKQlVSb2wxcWJhZ2xZK2lkMD0=&amp;h=5d9eaaedf7cc41f9a9d7a81bcc6ca2af&amp;s=AVNPUEhUT0NFTkNSWVBUSVbvtfomHBNCXGi9-UmFwtE9nw_4rRse0Okv-899_EQDLw\">https:\/\/developer.nvidia.com\/dli\/getready<\/a><\/span>.<\/p><p><u>Note<\/u>:<\/p><ol><li>You will get an access code to enter the course lectures and exercises.<br \/>\u00a0In order to log-in to the system, go to the link:<span style=\"text-decoration: underline;\"><a href=\"https:\/\/eu-central-1.protection.sophos.com?d=nvidia.com&amp;u=aHR0cHM6Ly9jb3Vyc2VzLm52aWRpYS5jb20vZGxpLWV2ZW50&amp;p=m&amp;i=NjQxYjA4MzYzOGEwMTM3M2QzZThkMTVi&amp;t=eEs5SHh5amxGUm44aXA3elA0NjVxNHNGTnpDc29HUHcxK1o3UW9OdUptbz0=&amp;h=5d9eaaedf7cc41f9a9d7a81bcc6ca2af&amp;s=AVNPUEhUT0NFTkNSWVBUSVbvtfomHBNCXGi9-UmFwtE9nw_4rRse0Okv-899_EQDLw\"> https:\/\/courses.nvidia.com\/dli-event<\/a><\/span>, and enter the access code.\u00a0<\/li><\/ol><p>\u00a0<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1109\" class=\"elementor-tab-title\" data-tab=\"9\" role=\"button\" aria-controls=\"elementor-tab-content-1109\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-arrow-down\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-arrow-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">Final Project<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1109\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"9\" role=\"region\" aria-labelledby=\"elementor-tab-title-1109\"><h4><span style=\"text-decoration: underline;\"><a href=\"https:\/\/drive.google.com\/drive\/folders\/1c4oa5z0wBSDFT5dS43KkMvMb8HQFO0iM?usp=drive_link\">Final project<\/a><\/span><\/h4><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-11010\" class=\"elementor-tab-title\" data-tab=\"10\" role=\"button\" aria-controls=\"elementor-tab-content-11010\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-arrow-down\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-arrow-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">List of Terms<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-11010\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"10\" role=\"region\" aria-labelledby=\"elementor-tab-title-11010\"><p>In each 1:1 meeting, 5\/55 terms will be randomly chosen, and you will need to explain their meaning in the context of what we studied in class (e.g., entropy is a general term, but we studied it specifically in the context of decision trees, and neural networks exist in brains, but they mean something else in the context of machine learning.).<\/p><table><tbody><tr><td width=\"125\"><p>EDA<\/p><\/td><td width=\"125\"><p>mean square error<\/p><\/td><td width=\"125\"><p>confusion matrix<\/p><\/td><td width=\"125\"><p>support vector machine<\/p><\/td><td width=\"125\"><p>one hot encoding<\/p><\/td><\/tr><tr><td width=\"125\"><p>supervised learning<\/p><\/td><td width=\"125\"><p>singular value decomposition<\/p><\/td><td width=\"125\"><p>ROC curve<\/p><\/td><td width=\"125\"><p>elbow method<\/p><p>\u00a0<\/p><\/td><td width=\"125\"><p>Autocorrelation<br \/>(time series)<\/p><\/td><\/tr><tr><td width=\"125\"><p>unsupervised learning<\/p><\/td><td width=\"125\"><p>log likelihood<\/p><\/td><td width=\"125\"><p>decision tree<\/p><\/td><td width=\"125\"><p>inertia<\/p><p>\u00a0<\/p><\/td><td width=\"125\"><p>de-trending<br \/>(time series)<\/p><\/td><\/tr><tr><td width=\"125\"><p>classification<\/p><\/td><td width=\"125\"><p>batch learning<\/p><\/td><td width=\"125\"><p>random forest<\/p><\/td><td width=\"125\"><p>dendrogram<\/p><\/td><td width=\"125\"><p>differencing<br \/>(time series)<\/p><\/td><\/tr><tr><td width=\"125\"><p>regression<\/p><\/td><td width=\"125\"><p>L1\/L2 regularization<\/p><\/td><td width=\"125\"><p>logistic regression<\/p><\/td><td width=\"125\"><p>agglomerative clustering<\/p><\/td><td width=\"125\"><p>hidden layers (neural networks)<\/p><\/td><\/tr><tr><td width=\"125\"><p>deep learning<\/p><\/td><td width=\"125\"><p>k-fold cross validation<\/p><\/td><td width=\"125\"><p>k-means<\/p><\/td><td width=\"125\"><p>silhouette scores<\/p><\/td><td width=\"125\"><p>pooling<br \/>(neural networks)<\/p><\/td><\/tr><tr><td width=\"125\"><p>dimensionality reduction<\/p><\/td><td width=\"125\"><p>Gradient descent<\/p><\/td><td width=\"125\"><p>k-nearest neighbors<\/p><\/td><td width=\"125\"><p>bias-variance trade-off<\/p><\/td><td width=\"125\"><p>data augmentation<br \/>(neural networks)<\/p><\/td><\/tr><tr><td width=\"125\"><p>PCA<\/p><\/td><td width=\"125\"><p>grid search<\/p><\/td><td width=\"125\"><p>gini impurity<\/p><\/td><td width=\"125\"><p>ridge regression<\/p><\/td><td width=\"125\"><p>convolution (neural networks)<\/p><\/td><\/tr><tr><td width=\"125\"><p>t-SNE<\/p><\/td><td width=\"125\"><p>under\/overfitting<\/p><\/td><td width=\"125\"><p>entropy<\/p><\/td><td width=\"125\"><p>lasso regression<\/p><\/td><td width=\"125\"><p>dropout (neural networks)<\/p><\/td><\/tr><tr><td width=\"125\"><p>optimization<\/p><\/td><td width=\"125\"><p>convex optimization<\/p><\/td><td width=\"125\"><p>pruning<\/p><\/td><td width=\"125\"><p>feature engineering<\/p><\/td><td width=\"125\"><p>hyperparameters<\/p><\/td><\/tr><\/tbody><\/table><p>\u00a0<\/p><p>Text books-<\/p><p><span style=\"text-decoration: underline;\"><a href=\"https:\/\/learningds.org\/intro.html\">https:\/\/learningds.org\/intro.html<\/a><\/span><\/p><p><span style=\"text-decoration: underline;\"><a href=\"https:\/\/github.com\/jakevdp\/PythonDataScienceHandbook\/tree\/master\">https:\/\/github.com\/jakevdp\/PythonDataScienceHandbook\/tree\/master<\/a><\/span><\/p><p>Some people recommend this, though I never tried it myself-<\/p><p><span style=\"text-decoration: underline;\"><a href=\"https:\/\/developers.google.com\/machine-learning\">https:\/\/developers.google.com\/machine-learning<\/a><\/span><\/p><p>There, you can also find a long list of terms in ML-<\/p><p><span style=\"text-decoration: underline;\"><a href=\"https:\/\/developers.google.com\/machine-learning\/glossary#loss\">https:\/\/developers.google.com\/machine-learning\/glossary#loss<\/a><\/span><\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-11011\" class=\"elementor-tab-title\" data-tab=\"11\" role=\"button\" aria-controls=\"elementor-tab-content-11011\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-arrow-down\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-arrow-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">Books - Introduction to Machine Learning with Python<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-11011\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"11\" role=\"region\" aria-labelledby=\"elementor-tab-title-11011\"><h4>Book &#8211; <a href=\"https:\/\/jakevdp.github.io\/PythonDataScienceHandbook\/index.html\"><span style=\"text-decoration: underline;\">Python Data Science Handbook<\/span><\/a><\/h4><h4>Book &#8211; <span style=\"text-decoration: underline;\"><a href=\"https:\/\/drive.google.com\/file\/d\/1CP3ooDMK0_klkPGZzQDwWE4m_SyOwEE1\/view?usp=drive_link\">Introduction to Machine Learning with Python<\/a><\/span><\/h4><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\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 data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-section elementor-top-section elementor-element elementor-element-b9e9cd4 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"b9e9cd4\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;jet_parallax_layout_list&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-7d6105d\" data-id=\"7d6105d\" data-element_type=\"column\" data-e-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-58c40c1 elementor-widget elementor-widget-spacer\" data-id=\"58c40c1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\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<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Introduction to Data Science Introduction and EDA 1. Understand basic concepts in data science and machine learning. 2. Be able to apply these methods, using programming, to scientific problems. This course is at basic level. It assumes some knowledge in stats and programming. We will generally limit the theory and math to a minimum. Presentation [&hellip;]<\/p>\n","protected":false},"author":93,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"_acf_changed":false,"_eb_attr":"","footnotes":""},"class_list":["post-11828","page","type-page","status-publish","hentry","entry"],"acf":[],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.1.1 - aioseo.com -->\n\t<meta name=\"description\" content=\"Introduction to Data Science Introduction and EDA 1. Understand basic concepts in data science and machine learning.2. Be able to apply these methods, using programming, to scientific problems.This course is at basic level. 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