{"id":8410,"date":"2019-12-15T03:55:09","date_gmt":"2019-12-15T03:55:09","guid":{"rendered":"https:\/\/www.inspirenignite.com\/vtu\/machine-learning-telecom-8th-sem-syllabus-for-vtu-be-2017-scheme-professional-elective-5\/"},"modified":"2019-12-15T03:55:09","modified_gmt":"2019-12-15T03:55:09","slug":"machine-learning-telecom-8th-sem-syllabus-for-vtu-be-2017-scheme-professional-elective-5","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/vtu\/machine-learning-telecom-8th-sem-syllabus-for-vtu-be-2017-scheme-professional-elective-5\/","title":{"rendered":"Machine Learning Telecom 8th Sem Syllabus for VTU BE 2017 Scheme (Professional Elective -5)"},"content":{"rendered":"<p>Machine Learning detail syllabus for Telecommunication Engineering (Telecom), 2017 scheme is taken from <a href=\"https:\/\/vtu.ac.in\/b-e-scheme-syllabus\/\" target=\"_blank\" rel=\"noopener\">VTU<\/a> official website and presented for VTU students. The course code (17EC834), and for exam duration, Teaching Hr\/week, Practical Hr\/week, Total Marks, internal marks, theory marks, duration and credits do visit complete sem subjects post given below.<\/p>\n<p>For all other telecom 8th sem syllabus for be 2017 scheme vtu you can visit <a href=\"..\/telecom-8th-sem-syllabus-for-be-2017-scheme-vtu\">Telecom 8th Sem syllabus for BE 2017 Scheme VTU Subjects<\/a>. For all other Professional Elective -5 subjects do refer to <a href=\"..\/professional-elective-5-telecom-8th-sem-syllabus-for-vtu-be-2017-scheme\">Professional Elective -5<\/a>. The detail syllabus for machine learning is as follows.<\/p>\n<p><h4>Course Objectives:<\/h4>\n<p> This course will enable students to:<\/p>\n<ul>\n<li>Introduce some concepts and techniques that are core to Machine Learning.<\/li>\n<li>Understand learning and decision trees.<\/li>\n<li>Acquire knowledge of neural networks, Bayesian techniques and instant based learning.<\/li>\n<li>Understand analytical learning and reinforced learning.<\/li>\n<\/ul>\n<p><h4>Module 1<br \/>\nFor complete syllabus and results, class timetable and more pls <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">download iStudy<\/a>. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.<\/p>\n<p><h4>Module 2<br \/>\n<\/h4>\n<p>Decision Tree and ANN: Decision Tree Representation, Hypothesis Space Search, Inductive bias in decision tree, issues in Decision tree. Neural Network Representation, Perceptrons, Multilayer Networks and Back Propagation Algorithms.\n<\/p>\n<p><h4>Module 3<br \/>\n<\/h4>\n<p>Bayesian and Computational Learning: Bayes Theorem, Bayes Theorem Concept Learning, Maximum Likelihood, Minimum Description Length Principle, Bayes Optimal Classifier, Gibbs Algorithm, Naive Bayes Classifier.\n<\/p>\n<p><h4>Module 4<br \/>\nFor complete syllabus and results, class timetable and more pls <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">download iStudy<\/a>. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.<\/p>\n<p><h4>Module 5<br \/>\n<\/h4>\n<p>Analytical Learning and Reinforced Learning: Perfect Domain Theories, Explanation Based Learning, Inductive-Analytical Approaches, FOCL Algorithm, Reinforcement Learning.\n<\/p>\n<p><h4>Course Outcomes:<\/h4>\n<p> At the end of the course, students should be able to:<\/p>\n<ul>\n<li>Understand the core concepts of Machine learning.<\/li>\n<li>Appreciate the underlying mathematical relationships within and across Machine Learning algorithms.<\/li>\n<li>Explain paradigms of supervised and un-supervised learning.<\/li>\n<li>Recognize a real world problem and apply the learned techniques of Machine Learning to solve the problem.<\/li>\n<\/ul>\n<p><h4>Text Books:<\/h4>\n<p>Machine Learning-Tom M. Mitchell, McGraw-Hill Education, (Indian Edition), 2013.\n<\/p>\n<p><h4>Reference Books:<\/h4>\n<ol>\n<li>Introduction to Machine Learning- Ethem Alpaydin, 2nd Ed., PHI Learning Pvt. Ltd., 2013.<\/li>\n<li>The Elements of Statistical Learning-T. Hastie, R. Tibshirani, J. H. Friedman, Springer; 1st edition, 2001.<\/li>\n<\/li>\n<\/ol>\n<p>For detail syllabus of all other subjects of BE Telecom, 2017 regulation do visit <a href=\"..\/category\/telecom+8th-sem\">Telecom 8th Sem syllabus for 2017 Regulation<\/a>.<\/p>\n<p>Dont forget to <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">download iStudy<\/a> for latest syllabus and results, class timetable and more.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Machine Learning detail syllabus for Telecommunication Engineering (Telecom), 2017 scheme is taken from VTU official website and presented for VTU students. The course code (17EC834), and for exam duration, Teaching [&hellip;]<\/p>\n","protected":false},"author":2298,"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":[47],"tags":[],"class_list":["post-8410","post","type-post","status-publish","format-standard","hentry","category-telecom"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/vtu\/wp-json\/wp\/v2\/posts\/8410","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/vtu\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/vtu\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/vtu\/wp-json\/wp\/v2\/users\/2298"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/vtu\/wp-json\/wp\/v2\/comments?post=8410"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/vtu\/wp-json\/wp\/v2\/posts\/8410\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/vtu\/wp-json\/wp\/v2\/media?parent=8410"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/vtu\/wp-json\/wp\/v2\/categories?post=8410"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/vtu\/wp-json\/wp\/v2\/tags?post=8410"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}