AL3451: Machine Learning syllabus for AI&ML 2021 regulation

Machine Learning detailed syllabus for Artificial Intelligence & Machine Learning (AI&ML) for 2021 regulation curriculum has been taken from the Anna University official website and presented for the AI&ML 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.

For Artificial Intelligence & Machine Learning 4th Sem scheme and its subjects, do visit AI&ML 4th Sem 2021 regulation scheme. The detailed syllabus of machine learning is as follows.

Course Objectives:

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Unit I

INTRODUCTION TO MACHINE LEARNING 8 Review of Linear Algebra for machine learning; Introduction and motivation for machine learning; Examples of machine learning applications, Vapnik-Chervonenkis (VC) dimension, Probably Approximately Correct (PAC) learning, Hypothesis spaces, Inductive bias, Generalization, Bias variance trade-off.

Unit II

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Unit III

ENSEMBLE TECHNIQUES AND UNSUPERVISED LEARNING 9 Combining 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.

Unit IV

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Unit V

DESIGN AND ANALYSIS OF MACHINE LEARNING EXPERIMENTS 8 Guidelines for machine learning experiments, Cross Validation (CV) and resampling – K-fold CV, bootstrapping, measuring classifier performance, assessing a single classification algorithm and comparing two classification algorithms – t test, McNemars test, K-fold CV paired t test

Course Outcomes:

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Reference Books:

1. Christopher M. Bishop, Pattern Recognition and Machine Learning, Springer, 2006.
2. Tom Mitchell, Machine Learning, McGraw Hill, 3rd Edition, 1997.
3. Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar, Foundations of Machine Learning, Second Edition, MIT Press, 2012, 2018.
4. Ian Goodfellow, Yoshua Bengio, Aaron Courville, Deep Learning, MIT Press, 2016
5. Sebastain Raschka, Vahid Mirjalili , Python Machine Learning, Packt publishing, 3rd Edition, 2019.

For detailed syllabus of all other subjects of Artificial Intelligence & Machine Learning, 2021 regulation curriculum do visit AI&ML 4th Sem subject syllabuses for 2021 regulation.

For all Artificial Intelligence & Machine Learning results, visit Anna University AI&ML all semester results direct link.