Learn · NPTEL

Course10610620247 lectures

Machine Learning, ML

Prof. Carl Gustaf Jansson · KTH Royal Institute of Technology, Sweden

Start with lecture 1 At NPTEL

Lectures

Week 1: Introduction to the Machine Learning course

  1. Introduction to the Machine Learning Course Video
  2. Foundation of Artificial Intelligence and Machine Learning Video
  3. Intelligent Autonomous Systems and Artificial Intelligence Video
  4. Applications of Machine Learning Video

Week 2: Characterization of Learning Problems

  1. Characterization of Learning Problems Video
  2. Objects, Categories and Features Video
  3. Feature related issues Video
  4. Scenarios for Concept Learning Video

Week 3 : Forms of Representation

  1. Forms of Representation Video
  2. Decision Trees Video
  3. Bayes (ian) Belief Networks Video
  4. Artificial Neural Networks Video
  5. Genetic algorithm Video
  6. mod03lec16 Video

Week 4 : Inductive Learning based on Symbolic Representations and Weak Theories

  1. Inductive Learning based on Symbolic Representations and Weak Theories Video
  2. Generalization as Search - Part 01 Video
  3. Generalization as Search - Part 02 Video
  4. Decision Tree Learning Algorithms - Part 01 Video
  5. Decision Tree Learning Algorithms - Part 02 Video
  6. Instance Based Learning - Part 01 Video
  7. Instance Based Learning - Part 02 Video
  8. mod04lec25 Video

Week 5 : Learning enabled by Prior Theories

  1. Machine Learning enabled by Prior Theories Video
  2. Explanation Based Learning Video
  3. Inductive Logic Programming Video
  4. Reinforcement Learning - Part 01 Introduction Video
  5. Reinforcement Learning - Part 02 Learning Algorithms Video
  6. Reinforcement Learning - Part 03 Q - Learning Video
  7. mod05lec33 Video

Week 6 : Machine Learning based Artificial Neural Networks

  1. Fundamentals of Artificial Neural Networks - Part1 Video
  2. Fundamentals of Artificial Neural Networks - Part2 Video
  3. Perceptrons Video
  4. Model of Neuron in an ANN Video
  5. Learning in a Feed Forward Multiple Layer ANN - Backpropagation Video
  6. Recurrent Neural Networks Video
  7. Hebbian Learning and Associative Memory Video
  8. Hopfield Networks and Boltzman Machines - Part 1 Video
  9. Hopfield Networks and Boltzman Machines - Part 2 Video
  10. Convolutional Neural Networks - Part 1 Video
  11. Convolutional Neural Networks - Part 2 Video
  12. mod06lec46 Video

Week 7 : Tools and Resources and Interdisciplinary Inspiration

  1. Tools and Resources Video
  2. Interdisciplinary Inspiration Video

week-08

  1. Lecture 8.2 - Introduction to a Systematic Example Video
  2. ML Course Week 8.3 Video

Live Session

  1. Live Session 24-02-2021 Video
  2. Live Session 06-04-2021 Video

Syllabus and materials

At NPTEL, as the course publishes them.

Credits and licence

Institution
KTH Royal Institute of Technology, Sweden
Department
Computer Science and Engineering
Teacher
Prof. Carl Gustaf Jansson
Level
Undergraduate
Language
English
Subjects
Computer science, Engineering
Source
NPTEL
Licence
CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
Attribution
NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge. Coordinated by IIT Madras.
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