Machine Learning detail syllabus for Food Technology (FT), 2019-20 scheme is taken from AKTU 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.
For all the other ft 8th sem syllabus for b.tech 2019-20 scheme aktu you can visit FT 8th Sem syllabus for B.Tech 2019-20 Scheme AKTU Subjects. For all the other Open Elective-II subjects do refer to Open Elective-II. The detail syllabus for machine learning is as follows.
Unit I
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
Unit II
For complete syllabus, results, class timetable and more kindly download iStudy. It is a lightweight, easy to use, no images, no pdfs platform to make student’s life easier.
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
Model of Learning; INSTANCE-BASED LEARNING – k-Nearest Neighbour Learning, Locally Weighted Regression, Radial basis function networks, Casebased learning
Unit V
For complete syllabus, results, class timetable and more kindly download iStudy. It is a lightweight, easy to use, no images, no pdfs platform to make student’s life easier.
Text Books:
- Tom M. Mitchell, Machine Learning, McGraw-Hill Education (India) Private Limited, 2013.
- Ethem Alpaydin, Introduction to Machine Learning (Adaptive Computation and Machine Learning), The MIT Press 2004.
- Stephen Marsland, Machine Learning: An Algorithmic Perspective, CRC Press, 2009.
- Bishop, C., Pattern Recognition and Machine Learning. Berlin: SpringerVerlag.
For the detailed syllabus of all the other subjects of B.Tech Ft, 2019-20 regulation do visit Ft 8th Sem syllabus for 2019-20 Regulation.
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