{"id":55270,"date":"2023-08-28T07:13:15","date_gmt":"2023-08-28T07:13:15","guid":{"rendered":"https:\/\/www.inspirenignite.com\/anna-university\/cs3491-artificial-intelligence-and-machine-learning-syllabus-for-ete-2021-regulation\/"},"modified":"2023-08-28T07:13:15","modified_gmt":"2023-08-28T07:13:15","slug":"cs3491-artificial-intelligence-and-machine-learning-syllabus-for-ete-2021-regulation","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/anna-university\/cs3491-artificial-intelligence-and-machine-learning-syllabus-for-ete-2021-regulation\/","title":{"rendered":"CS3491: Artificial Intelligence and Machine Learning syllabus for ETE 2021 regulation"},"content":{"rendered":"

Artificial Intelligence and Machine Learning detailed syllabus for Electronics & Telecommunication Engineering (ETE) for 2021 regulation curriculum has been taken from the Anna University<\/a> official website and presented for the ETE 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

For Electronics & Telecommunication Engineering 6th Sem scheme and its subjects, do visit ETE 6th Sem 2021 regulation scheme<\/a>. The detailed syllabus of artificial intelligence and machine learning is as follows. <\/p>\n

Course Objectives:<\/h4>\n

Download the iStudy App for all syllabus and other updates.<\/a>
\"Get<\/a><\/h4>\n

Unit I<\/h4>\n

PROBLEM SOLVING
\nIntroduction to AI – AI Applications – Problem solving agents – search algorithms – uninformed search strategies – Heuristic search strategies – Local search and optimization problems -adversarial search – constraint satisfaction problems (CSP)\n<\/p>\n

Unit II<\/h4>\n

PROBABILISTIC REASONING
\nActing under uncertainty – Bayesian inference – naive bayes models. Probabilistic reasoning -Bayesian networks – exact inference in BN – approximate inference in BN – causal networks.\n<\/p>\n

Unit III<\/h4>\n

Download the iStudy App for all syllabus and other updates.<\/a>
\"Get<\/a><\/h4>\n

Unit IV<\/h4>\n

ENSEMBLE TECHNIQUES AND UNSUPERVISED LEARNING
\nCombining multiple learners: Model combination schemes, Voting, Ensemble Learning – bagging, boosting, stacking, Unsupervised learning: K-means, Instance Based Learning: KNN, Gaussian mixture models and Expectation maximization\n<\/p>\n

Unit V<\/h4>\n

NEURAL NETWORKS
\nPerceptron – Multilayer perceptron, activation functions, network training – gradient descent optimization – stochastic gradient descent, error backpropagation, from shallow networks to deep networks -Unit saturation (aka the vanishing gradient problem) – ReLU, hyperparameter tuning, batch normalization, regularization, dropout.\n<\/p>\n

Practical Exercises<\/h4>\n
    \n
  1. Implementation of Uninformed search algorithms (BFS, DFS)<\/li>\n
  2. Implementation of Informed search algorithms (A*, memory-bounded A*)<\/li>\n
  3. Implement naive Bayes models<\/li>\n
  4. Implement Bayesian Networks<\/li>\n
  5. Build Regression models<\/li>\n
  6. Build decision trees and random forests<\/li>\n
  7. Build SVM models<\/li>\n
  8. Implement ensembling techniques<\/li>\n
  9. Implement clustering algorithms<\/li>\n
  10. Implement EM for Bayesian networks<\/li>\n
  11. Build simple NN models<\/li>\n
  12. Build deep learning NN models<\/li>\n<\/ol>\n

    Course Outcomes:<\/h4>\n

    Download the iStudy App for all syllabus and other updates.<\/a>
    \"Get<\/a><\/h4>\n

    Text Books:<\/h4>\n
      \n
    1. Stuart Russell and Peter Norvig, \u201cArtificial Intelligence – A Modern Approach\u201d, Fourth Edition, Pearson Education, 2021.<\/li>\n
    2. Ethem Alpaydin, \u201cIntroduction to Machine Learning\u201d, MIT Press, Fourth Edition, 2020.<\/li>\n<\/ol>\n

      Reference Books:<\/h4>\n
        \n
      1. Dan W. Patterson, \u201cIntroduction to AI and ES\u201d, Pearson Education,2007<\/li>\n
      2. Kevin Night, Elaine Rich, and Nair B., \u201cArtificial Intelligence\u201d, McGraw Hill, 2008<\/li>\n
      3. Patrick H. Winston, “Artificial Intelligence”, Third Edition, Pearson Education, 2006<\/li>\n
      4. Deepak Khemani, \u201cArtificial Intelligence\u201d, Tata McGraw Hill Education, 2013 (http:\/\/nptel.ac.in\/)<\/li>\n
      5. Christopher M. Bishop, \u201cPattern Recognition and Machine Learning\u201d, Springer, 2006.<\/li>\n
      6. Tom Mitchell, \u201cMachine Learning\u201d, McGraw Hill, 3rd Edition,1997.<\/li>\n
      7. Charu C. Aggarwal, \u201cData Classification Algorithms and Applications\u201d, CRC Press, 2014<\/li>\n
      8. Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar, \u201cFoundations of Machine Learning\u201d, MIT Press, 2012.<\/li>\n
      9. Ian Goodfellow, Yoshua Bengio, Aaron Courville, \u201cDeep Learning\u201d, MIT Press, 2016<\/li>\n<\/li>\n<\/ol>\n

        For detailed syllabus of all other subjects of Electronics & Telecommunication Engineering, 2021 regulation curriculum do visit ETE 6th Sem subject syllabuses for 2021 regulation<\/a>. <\/p>\n

        For all Electronics & Telecommunication Engineering results, visit Anna University ETE all semester results<\/a> direct link. <\/p>\n","protected":false},"excerpt":{"rendered":"

        Artificial Intelligence and Machine Learning detailed syllabus for Electronics & Telecommunication Engineering (ETE) for 2021 regulation curriculum has been taken from the Anna University official website and presented for the […]<\/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":[49,147],"tags":[],"class_list":["post-55270","post","type-post","status-publish","format-standard","hentry","category-6th-sem","category-ete"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/55270","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=55270"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/55270\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/media?parent=55270"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/categories?post=55270"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/tags?post=55270"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}