{"id":18740,"date":"2020-09-11T15:13:19","date_gmt":"2020-09-11T15:13:19","guid":{"rendered":"https:\/\/www.inspirenignite.com\/mh\/it804se-05-machine-learning-syllabus-for-it-8th-sem-2019-20-dbatu-elective-xiii-labs\/"},"modified":"2020-09-11T15:13:19","modified_gmt":"2020-09-11T15:13:19","slug":"it804se-05-machine-learning-syllabus-for-it-8th-sem-2019-20-dbatu-elective-xiii-labs","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/mh\/it804se-05-machine-learning-syllabus-for-it-8th-sem-2019-20-dbatu-elective-xiii-labs\/","title":{"rendered":"IT804SE-05: Machine Learning Syllabus for IT 8th Sem 2019-20 DBATU (Elective-XIII Labs)"},"content":{"rendered":"

Machine Learning detailed syllabus scheme for Information Technology (IT), 2019-20 onwards has been taken from the DBATU<\/a> official website and presented for the Bachelor of Technology students. For Subject Code, Course Title, Lecutres, Tutorials, Practice, Credits, and other information, do visit full semester subjects post given below. <\/p>\n

For 8th Sem Scheme of Information Technology (IT), 2019-20 Onwards, do visit IT 8th Sem Scheme, 2019-20 Onwards<\/a>. For the Elective-XIII Labs scheme of 8th Sem 2019-20 onwards, refer to IT 8th Sem Elective-XIII Labs Scheme 2019-20 Onwards<\/a>. The detail syllabus for machine learning is as follows.<\/p>\n

Machine Learning Syllabus for Information Technology (IT) 3rd Year 8th Sem 2019-20 DBATU<\/h2>\n

Machine Learning<\/title><\/p>\n<h4>Course Objectives:<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&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\"><\/a>. <\/p>\n<h4>Course Outcomes:<\/h4>\n<p> After learning the course the student will be able:<\/p>\n<ol>\n<li>To demonstrate knowledge of the machine learning literature<\/li>\n<li>To describe how and why machine learning methods work<\/li>\n<li>To demonstrate results of parameter selection<\/li>\n<li>To explain relative strengths and weaknesses of different machine learning methods<\/li>\n<li>To select and apply appropriate machine learning methods to a selected problem<\/li>\n<li>To implement machine learning algorithms on real datasets<\/li>\n<li>To suggest ways to improve results<\/li>\n<\/ol>\n<h4>Unit i<\/h4>\n<p> Introduction: Well-posed learning problems, Designing a Learning System, Perspectives and Issues in Machine learning Concept Learning and General-to-specific Ordering: A concept learning task, Concept learning as Search, Finding a maximally specific hypothesis, Version Spaces and Candidate elimination algorithm, Inductive Bias<\/p>\n<h4>Unit ii<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&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\"><\/a>. <\/p>\n<h4>Unit iii<\/h4>\n<p> Bayesian Learning: Bayes theorem and concept learning, Maximum likelihood and least square error hypotheses, Minimum description length principle, Bayes optimal classifier, Gibbs algorithm, Naive Bayes classifier Computational Learning Theory: Probably learning an approximately correct hypothesis, PAC learnability, The VC dimension, the mistake bound model for learning<\/p>\n<h4>Unit iv<\/h4>\n<p> Linear Models for Regression: Linear basis function models, The Bias-Variance decomposition, Bayesian Linear Regression, Bayesian Model comparison Kernel Methods: Constructing kernels, Radial basis function networks, Gaussian Processes<\/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 href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&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\"><\/a>. <\/p>\n<h4>Unit vi<\/h4>\n<p> Reinforcement Learning: The learning task, Q learning, Non-deterministic rewards and action, Temporal difference learning, Generalizing from examples<\/p>\n<h4>Text Books:<\/h4>\n<ol>\n<li>Mitchell, Tom. M., Machine Learning, McGraw-Hill Education, 1st edition, May 2013.<\/li>\n<li>Segaran, Toby. Programming Collective Intelligence- Building Smart Web<\/li>\n<li>Applications, OReilly Media, August 2007.<\/li>\n<\/ol>\n<h4>Reference Book:<\/h4>\n<ol>\n<li>Miroslav, Kubat. An Introduction to Machine Learning, Springer Publishing.<\/li>\n<li>Bishop, C. M., Pattern Recognition and Machine Learning, Springer Publishing.<\/li>\n<li>Conway, Drew and White, John Myles, Machine Learning for Hackers, O’Reilly Media, February 2012.<\/li>\n<\/ol>\n<p align=\"justify\">For detail syllabus of all subjects of Information Technology (IT) 8th Sem 2019-20 onwards, visit <a href=\"..\/category\/dbatu\/8th-sem-dbatu\">IT 8th Sem Subjects <\/a>of 2019-20 Onwards.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Machine Learning detailed syllabus scheme for Information Technology (IT), 2019-20 onwards has been taken from the DBATU official website and presented for the Bachelor of Technology students. For Subject Code, […]<\/p>\n","protected":false},"author":2351,"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":[109],"tags":[],"class_list":["post-18740","post","type-post","status-publish","format-standard","hentry","category-it-dbatu"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/posts\/18740","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/users\/2351"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/comments?post=18740"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/posts\/18740\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/media?parent=18740"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/categories?post=18740"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/tags?post=18740"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}