{"id":5678,"date":"2020-02-08T07:43:28","date_gmt":"2020-02-08T07:43:28","guid":{"rendered":"https:\/\/www.inspirenignite.com\/up\/machine-learning-aei-8th-sem-syllabus-for-aktu-b-tech-2019-20-scheme-open-elective-ii\/"},"modified":"2020-02-08T07:43:28","modified_gmt":"2020-02-08T07:43:28","slug":"machine-learning-aei-8th-sem-syllabus-for-aktu-b-tech-2019-20-scheme-open-elective-ii","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/up\/machine-learning-aei-8th-sem-syllabus-for-aktu-b-tech-2019-20-scheme-open-elective-ii\/","title":{"rendered":"Machine Learning AEI 8th Sem Syllabus for AKTU B.Tech 2019-20 Scheme (Open Elective-II)"},"content":{"rendered":"

Machine Learning detail syllabus for Applied Electronics & Instrumentation (AEI), 2019-20 scheme is taken from AKTU<\/a> official website and presented for AKTU students. The course code (ROE083), and for exam duration, Teaching Hr\/Week, Practical Hr\/Week, Total Marks, internal marks, theory marks, and credits do visit complete sem subjects post given below.<\/p>\n

For all the other aei 8th sem syllabus for b.tech 2019-20 scheme aktu you can visit AEI 8th Sem syllabus for B.Tech 2019-20 Scheme AKTU Subjects<\/a>. For all the other Open Elective-II subjects do refer to Open Elective-II<\/a>. The detail syllabus for machine learning is as follows.<\/p>\n

\n

Unit I<\/h4>\n

INTRODUCTION – Well defined learning problems, Designing a Learning System, Issues in Machine Learning; THE CONCEPT LEARNING TASK -General-to-specific ordering of hypotheses, Find-S, List then eliminate algorithm, Candidate elimination algorithm, Inductive bias\n<\/p><\/div>\n<\/p>\n

\n

Unit II<\/h4>\n

For complete syllabus, results, class timetable and more kindly download iStudy<\/a>. It is a lightweight, easy to use, no images, no pdfs platform to make student’s life easier.<\/b><\/p>\n

\n

Unit III<\/h4>\n

Evaluating Hypotheses: Estimating Hypotheses Accuracy, Basics of sampling Theory, Comparing Learning Algorithms; Bayesian Learning: Bayes theorem, Concept learning, Bayes Optimal Classifier, Naive Bayes classifier, Bayesian belief networks, EM algorithm; Computational Learning Theory: Sample Complexity for Finite Hypothesis spaces, Sample Complexity for Infinite Hypothesis spaces, The Mistake Bound\n<\/p><\/div>\n<\/p>\n

\n

Unit IV<\/h4>\n

Model of Learning; INSTANCE-BASED LEARNING – k-Nearest Neighbour Learning, Locally Weighted Regression, Radial basis function networks, Casebased learning\n<\/p><\/div>\n<\/p>\n

\n

Unit V<\/h4>\n

For complete syllabus, results, class timetable and more kindly download iStudy<\/a>. It is a lightweight, easy to use, no images, no pdfs platform to make student’s life easier.<\/b><\/p>\n

\n

Text Books:<\/h4>\n
    \n
  1. Tom M. Mitchell, Machine Learning, McGraw-Hill Education (India) Private Limited, 2013.<\/li>\n
  2. Ethem Alpaydin, Introduction to Machine Learning (Adaptive Computation and Machine Learning), The MIT Press 2004.<\/li>\n
  3. Stephen Marsland, Machine Learning: An Algorithmic Perspective, CRC Press, 2009.<\/li>\n
  4. Bishop, C., Pattern Recognition and Machine Learning. Berlin: SpringerVerlag.<\/li>\n<\/li>\n<\/ol>\n<\/div>\n

    For the detailed syllabus of all the other subjects of B.Tech Aei, 2019-20 regulation do visit Aei 8th Sem syllabus for 2019-20 Regulation<\/a>.<\/p>\n

    Dont forget to download iStudy<\/a> for latest syllabus, results, class timetable and more.<\/p>\n","protected":false},"excerpt":{"rendered":"

    Machine Learning detail syllabus for Applied Electronics & Instrumentation (AEI), 2019-20 scheme is taken from AKTU official website and presented for AKTU students. The course code (ROE083), and for exam […]<\/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":[57],"tags":[],"class_list":["post-5678","post","type-post","status-publish","format-standard","hentry","category-aei"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/up\/wp-json\/wp\/v2\/posts\/5678","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=5678"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/up\/wp-json\/wp\/v2\/posts\/5678\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/up\/wp-json\/wp\/v2\/media?parent=5678"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/up\/wp-json\/wp\/v2\/categories?post=5678"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/up\/wp-json\/wp\/v2\/tags?post=5678"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}