{"id":53624,"date":"2023-04-08T06:10:49","date_gmt":"2023-04-08T06:10:49","guid":{"rendered":"https:\/\/www.inspirenignite.com\/anna-university\/cs3491-artificial-intelligence-and-machine-learning-syllabus-for-ece-2021-regulation\/"},"modified":"2023-04-08T06:10:49","modified_gmt":"2023-04-08T06:10:49","slug":"cs3491-artificial-intelligence-and-machine-learning-syllabus-for-ece-2021-regulation","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/anna-university\/cs3491-artificial-intelligence-and-machine-learning-syllabus-for-ece-2021-regulation\/","title":{"rendered":"CS3491: Artificial Intelligence and Machine Learning syllabus for ECE 2021 regulation"},"content":{"rendered":"<p align=\"justify\">Artificial Intelligence and Machine Learning detailed syllabus for Electronics &amp; Communication Engineering (ECE) for 2021 regulation curriculum has been taken from the <a class=\"rank-math-link\" href=\"https:\/\/cac.annauniv.edu\/\" style=\"color: inherit\" target=\"_blank\" rel=\"noopener\">Anna University<\/a> official website and presented for the ECE students. For course code, course name, number of credits for a course and other scheme related information,  do visit full semester subjects post given below. <\/p>\n<p align=\"justify\">For Electronics &amp; Communication Engineering 6th Sem scheme and its subjects, do visit <a class=\"rank-math-link\" href=\"..\/ece-6th-sem-syllabus-2021-regulation\">ECE 6th Sem 2021 regulation scheme<\/a>. The detailed syllabus of artificial intelligence and machine learning is as follows. <\/p>\n<p>  <title>Artificial Intelligence and Machine Learning<\/title><\/p>\n<h4>Course Objectives:<\/h4>\n<h4 id=\"istudy\" style=\"text-align:center\"><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" style=\"color: inherit\" target=\"_blank\" rel=\"noopener\">Download the iStudy App for all syllabus and other updates.<\/a><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px;text-align:center\"><\/a><\/h4>\n<h4>Unit I<\/h4>\n<p>  <strong>PROBLEM SOLVING 9<\/strong>Introduction to AI &#8211; AI Applications &#8211; Problem solving agents \u00e2\u20ac\u201c search algorithms \u00e2\u20ac\u201c uninformed search strategies \u00e2\u20ac\u201c Heuristic search strategies \u00e2\u20ac\u201c Local search and optimization problems \u00e2\u20ac\u201c adversarial search \u00e2\u20ac\u201c constraint satisfaction problems (CSP)<\/p>\n<h4>Unit II<\/h4>\n<h4 id=\"istudy\" style=\"text-align:center\"><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" style=\"color: inherit\" target=\"_blank\" rel=\"noopener\">Download the iStudy App for all syllabus and other updates.<\/a><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px;text-align:center\"><\/a><\/h4>\n<h4>Unit III<\/h4>\n<p>  <strong>SUPERVISED LEARNING 9<\/strong>Introduction to machine learning \u00e2\u20ac\u201c Linear Regression Models: Least squares, single &amp; multiple variables, Bayesian linear regression, gradient descent, Linear Classification Models: Discriminant function \u00e2\u20ac\u201c Probabilistic discriminative model &#8211; Logistic regression, Probabilistic generative model \u00e2\u20ac\u201c Naive Bayes, Maximum margin classifier \u00e2\u20ac\u201c Support vector machine, Decision Tree, Random forests<\/p>\n<h4>Unit IV<\/h4>\n<h4 id=\"istudy\" style=\"text-align:center\"><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" style=\"color: inherit\" target=\"_blank\" rel=\"noopener\">Download the iStudy App for all syllabus and other updates.<\/a><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px;text-align:center\"><\/a><\/h4>\n<h4>Unit V<\/h4>\n<p>  <strong>NEURAL NETWORKS 9<\/strong>Perceptron &#8211; Multilayer perceptron, activation functions, network training \u00e2\u20ac\u201c gradient descent optimization \u00e2\u20ac\u201c stochastic gradient descent, error backpropagation, from shallow networks to deep networks \u00e2\u20ac\u201cUnit saturation (aka the vanishing gradient problem) \u00e2\u20ac\u201c ReLU, hyperparameter tuning, batch normalization, regularization, dropout.<\/p>\n<h4>Practical Exercises:<\/h4>\n<h4 id=\"istudy\" style=\"text-align:center\"><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" style=\"color: inherit\" target=\"_blank\" rel=\"noopener\">Download the iStudy App for all syllabus and other updates.<\/a><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px;text-align:center\"><\/a><\/h4>\n<h4>Course Outcomes:<\/h4>\n<ol>\n<li>Use appropriate search algorithms for problem solving<\/li>\n<li>Apply reasoning under uncertainty<\/li>\n<li>Build supervised learning models<\/li>\n<li>Build ensembling and unsupervised models<\/li>\n<li>Build deep learning neural network models<\/li>\n<\/ol>\n<h4>Text Books:<\/h4>\n<ol>\n<li>Stuart Russell and Peter Norvig, &#8216;Artificial Intelligence \u00e2\u20ac\u201c A Modern Approach&#8217;, Fourth Edition, Pearson Education, 2021<\/li>\n<li>Ethem Alpaydin, &#8216;Introduction to Machine Learning&#8217;, MIT Press, Fourth Edition, 2020<\/li>\n<\/ol>\n<h4>Reference Books:<\/h4>\n<h4 id=\"istudy\" style=\"text-align:center\"><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" style=\"color: inherit\" target=\"_blank\" rel=\"noopener\">Download the iStudy App for all syllabus and other updates.<\/a><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px;text-align:center\"><\/a><\/h4>\n<p align=\"justify\">For detailed syllabus of all other subjects of Electronics &amp; Communication Engineering, 2021 regulation curriculum do visit <a class=\"rank-math-link\" href=\"..\/category\/ece+6th-sem\">ECE 6th Sem subject syllabuses for 2021 regulation<\/a>. <\/p>\n<p align=\"justify\">For all Electronics &amp; Communication Engineering results, visit <a class=\"rank-math-link\" href=\"https:\/\/www.inspirenignite.com\/anna-university\/anna-university-results\/\">Anna University ECE all semester results<\/a> direct link. <\/p>\n","protected":false},"excerpt":{"rendered":"<p>Artificial Intelligence and Machine Learning detailed syllabus for Electronics &amp; Communication Engineering (ECE) for 2021 regulation curriculum has been taken from the Anna University official website and presented for the [&hellip;]<\/p>\n","protected":false},"author":2297,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[49,71],"tags":[],"class_list":["post-53624","post","type-post","status-publish","format-standard","hentry","category-6th-sem","category-ece"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/53624","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/users\/2297"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/comments?post=53624"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/53624\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/media?parent=53624"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/categories?post=53624"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/tags?post=53624"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}