ETE

18EC745: Machine Learning ETE Syllabus for BE 7th Sem 2018 Scheme VTU (Professional Elective-3)

Machine Learning detailed Syllabus for Electronics & Telecommunication Engineering (ETE), 2018 scheme has been taken from the VTUs official website and presented for the VTU students. For Course Code, Subject Names, Teaching Department, Paper Setting Board, Theory Lectures, Tutorial, Practical/Drawing, Duration in Hours, CIE Marks, Total Marks, Credits and other information, visit full semester subjects post given below. The Syllabus PDF files can also be downloaded from the official website of the university.

For all the other VTU ETE 7th Sem Syllabus for BE 2018 Scheme, visit Electronics & Telecommunication Engineering 7th Sem 2018 Scheme.

For all the (Professional Elective-3) subjects refer to Professional Elective-3 Scheme. The detail syllabus for machine learning is as follows.

Course Learning Objectives:

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play.

Module -1

Learning: Designing Learning systems, Perspectives and Issues, Concept Learning, Version Spaces and Candidate Elimination Algorithm, Inductive bias.

Module -2

Decision Tree and ANN: Decision Tree Representation, Hypothesis Space Search, Inductive bias in decision tree, issues in Decision tree. Neural Network Representation, Perceptrons, Multilayer Networks and Back Propagation Algorithms.

Module -3

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play.

Module -4

Instant Based Learning and Learning set of rules: K- Nearest Neighbour Learning, Locally Weighted Regression, Radial Basis Functions, Case-Based Reasoning. Sequential Covering Algorithms, Learning Rule Sets, Learning First Order Rules, Learning Sets of First Order Rules.

Module -5

Analytical Learning and Reinforced Learning: Perfect Domain Theories, Explanation Based Learning Inductive-Analytical Approaches, FOCL Algorithm, Reinforcement Learning.

Course Outcomes:

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play.

Question paper pattern:

  • Examination will be conducted for 100 marks with question paper containing 10 full questions, each of 20 marks.
  • Each full question can have a maximum of 4 sub questions.
  • There will be 2 full questions from each module covering all the topics of the module.
  • Students will have to answer 5 full questions, selecting one full question from each module.

Text Book:

Machine Learning-Tom M. Mitchell, McGraw-Hill Education, (Indian Edition), 2013

Reference Books:

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play.

For the detail Syllabus of all other subjects of BE (ETE) 7th Sem, visit Electronics & Telecommunication Engineering 7th Sem Subjects.

For all (CBSE & Non-CBSC) BE/B.Tech results, visit VTU BE/B.Tech all semester results.

Leave a Reply

Your email address will not be published. Required fields are marked *

*