{"id":18545,"date":"2021-11-24T11:55:24","date_gmt":"2021-11-24T11:55:24","guid":{"rendered":"https:\/\/www.inspirenignite.com\/up\/open-elective-2-koe073-machine-learning-ie-7th-sem-syllabus-for-aktu-b-tech-2021-22-scheme\/"},"modified":"2021-11-24T11:55:24","modified_gmt":"2021-11-24T11:55:24","slug":"open-elective-2-koe073-machine-learning-ie-7th-sem-syllabus-for-aktu-b-tech-2021-22-scheme","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/up\/open-elective-2-koe073-machine-learning-ie-7th-sem-syllabus-for-aktu-b-tech-2021-22-scheme\/","title":{"rendered":"(Open Elective-2) KOE073: Machine Learning IE 7th Sem Syllabus for AKTU B.Tech 2021-22 Scheme"},"content":{"rendered":"

Machine Learning detail syllabus for Instrumentation Engineering (IE), 2021-22 scheme is taken from AKTUs<\/a> official website and presented for the AKTU B.Tech students. For the course code (KOE073), exam duration, teaching hr\/week, practical hr\/week, total marks, internal marks, theory marks, duration, credits, and other details do visit complete semester subjects post given below.<\/p>\n

For the IE 7th Sem Syllabus for AKTU B.Tech 2021-22 Scheme you can visit IE 7th Sem 2021-22 Scheme<\/a>. For the Open Elective-2 scheme of IE 7th Sem 2021-22 regulation do refer to Open Elective-2 IE 7th Sem scheme<\/a>. The detail syllabus for machine learning is as follows.<\/p>\n

Machine Learning<\/title><\/p>\n<h4>Unit I<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" rel=\"nofollow noopener\" target=\"_blank\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" rel=\"nofollow noopener\" target=\"_blank\"><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\"><\/a> <\/p>\n<h4>Unit II<\/h4>\n<p> DECISION TREE LEARNING – Decision tree learning algorithm-Inductive bias- Issues in Decision tree learning; ARTIFICIAL NEURAL NETWORKS – Perceptrons, Gradient descent and the Delta rule, Adaline, Multilayer networks, Derivation of backpropagation rule Backpropagation AlgorithmConvergence, Generalization.<\/p>\n<h4>Unit III<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" rel=\"nofollow noopener\" target=\"_blank\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" rel=\"nofollow noopener\" target=\"_blank\"><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\"><\/a> <\/p>\n<h4>Unit IV<\/h4>\n<p> Computational Learning Theory: Sample Complexity for Finite Hypothesis spaces, Sample Complexity for Infinite Hypothesis spaces, The Mistake Bound Model of Learning; INSTANCE-BASED LEARNING – k-Nearest Neighbour Learning, Locally Weighted Regression, Radial basis function networks, Case-based learning.<\/p>\n<h4>Unit V<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" rel=\"nofollow noopener\" target=\"_blank\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" rel=\"nofollow noopener\" target=\"_blank\"><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\"><\/a> <\/p>\n<h4>Text Books:<\/h4>\n<ol>\n<li>Tom M. Mitchell,’Machine Learning, McGraw-Hill Education (India) Private Limited, 2013.<\/li>\n<li>Ethem Alpaydin,’Introduction to Machine Learning (Adaptive Computation and Machine Learning), The MIT Press 2004.<\/li>\n<li>Stephen Marsland, ‘Machine Learning: An Algorithmic Perspective, CRC Press, 2009.<\/li>\n<li>Bishop, C., Pattern Recognition and Machine Learning. Berlin: Springer- Verlag.<\/li>\n<\/ol>\n<p align=\"justify\">For the syllabus of all the subjects of B.Tech IE 7th Sem, 2021-22 scheme do visit <a class=\"rank-math-link\" href=\"..\/category\/ie+7th-sem\">IE 7th Sem syllabus subjects<\/a>.<\/p>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" rel=\"nofollow noopener\" target=\"_blank\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" rel=\"nofollow noopener\" target=\"_blank\"><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\"><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Machine Learning detail syllabus for Instrumentation Engineering (IE), 2021-22 scheme is taken from AKTUs official website and presented for the AKTU B.Tech students. For the course code (KOE073), exam duration, […]<\/p>\n","protected":false},"author":2300,"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":[58],"tags":[],"class_list":["post-18545","post","type-post","status-publish","format-standard","hentry","category-ie"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/up\/wp-json\/wp\/v2\/posts\/18545","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/up\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/up\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/up\/wp-json\/wp\/v2\/users\/2300"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/up\/wp-json\/wp\/v2\/comments?post=18545"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/up\/wp-json\/wp\/v2\/posts\/18545\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/up\/wp-json\/wp\/v2\/media?parent=18545"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/up\/wp-json\/wp\/v2\/categories?post=18545"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/up\/wp-json\/wp\/v2\/tags?post=18545"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}