CSE

Machine Learning CSE 8th Sem Syllabus for AKTU B.Tech 2019-20 Scheme (Departmental Elective-5)

Machine Learning detail syllabus for Computer Science Engineering (CSE), 2019-20 scheme is taken from AKTU official website and presented for AKTU students. The course code (RCS-080), 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.

For all other cse 8th sem syllabus for b.tech 2019-20 scheme aktu you can visit CSE 8th Sem syllabus for B.Tech 2019-20 Scheme AKTU Subjects. For all other Departmental Elective-5 subjects do refer to Departmental Elective-5. The detail syllabus for machine learning is as follows.

Unit I

For the complete syllabus, results, class timetable and more kindly download iStudy. It’s a lightweight, easy to use, no images, no pdfs platform to make student’s life easier.

Unit II

DECISION TREE LEARNING – Decision tree learning algorithm-Inductive bias- Issues in Decision tree learning; ARTIFICIAL NEURAL NETWORKS – Perceptrons, Gradient descent and the Delta rule, Adaline, Multilayer networks, Derivation of backpropagation rule Backpropagation AlgorithmConvergence, Generalization;

Unit III

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

Unit IV

For the complete syllabus, results, class timetable and more kindly download iStudy. It’s a lightweight, easy to use, no images, no pdfs platform to make student’s life easier.

Unit V

Genetic Algorithms: an illustrative example, Hypothesis space search, Genetic Programming, Models of Evolution and Learning; Learning first order rules-sequential covering algorithms-General to specific beam search-FOIL; REINFORCEMENT LEARNING – The Learning Task, Q Learning.

Text Books:

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

For detail syllabus of all other subjects of B.Tech Cse, 2019-20 regulation do visit Cse 8th Sem syllabus for 2019-20 Regulation.

Don’t forget to download iStudy for the latest syllabus, results, class timetable and more.

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