Machine Learning detail syllabus for Computer Science & Engineering (Cse), 2017 scheme is taken from VTU official website and presented for VTU students. The course code (17CS73), 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.
For all other cse 7th sem syllabus for be 2017 scheme vtu you can visit CSE 7th Sem syllabus for BE 2017 Scheme VTU Subjects. The detail syllabus for machine learning is as follows.
Module 1
Introduction: Well posed learning problems, Designing a Learning system, Perspective and Issues in Machine Learning. Concept Learning: Concept learning task, Concept learning as search, Find-S algorithm, Version space, Candidate Elimination algorithm, Inductive Bias. Text Book1, Sections: 1.1 – 1.3, 2.1-2.5, 2.7
Module 2
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Module 3
Artificial Neural Networks: Introduction, Neural Network representation, Appropriate problems, Perceptrons, Backpropagation algorithm. Text book 1, Sections: 4.1 – 4.6
Module 4
Bayesian Learning: Introduction, Bayes theorem, Bayes theorem and concept learning, ML and LS error hypothesis, ML for predicting probabilities, MDL principle, Naive Bayes classifier, Bayesian belief networks, EM algorithm Text book 1, Sections: 6.1 – 6.6, 6.9, 6.11, 6.12
Module 5
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Course Outcomes:
After studying this course, students will be able to
- Recall the problems for machine learning. And select the either supervised, unsupersvised or reinforcement learning. Understand theory of probability and statistics related to machine learning Illustrate concept learning, ANN, Bayes classifier, k nearest neighbor, Q,
Question paper pattern:
- The question paper will have ten questions.
- There will be 2 questions from each module.
- Each question will have questions covering all the topics under a module.
- The students will have to answer 5 full questions, selecting one full question from each module.
Text Books:
- Tom M. Mitchell, Machine Learning, India Edition 2013, McGraw Hill Education.
Reference Books:
- Trevor Hastie, Robert Tibshirani, Jerome Friedman, h The Elements of Statistical Learning, 2nd edition, springer series in statistics.
- Ethem Alpaydin, Introduction to machine learning, second edition, MIT press.
For detail syllabus of all other subjects of BE Cse, 2017 scheme do visit Cse 7th Sem syllabus for 2017 scheme.
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