# Machine Learning, ML

- 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](https://nptel.ac.in/courses/106106202)
- Licence: [CC BY-NC-SA](https://nptel.ac.in/faq) (Non-commercial use only.)
- Syllabus: [at the source](https://nptel.ac.in/courses/106106202)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

## Lectures

1. [Introduction to the Machine Learning Course](https://invisiblenetwork.ai/learn/nptel/106106202/ee3dd3969cc5) (Video)
2. [Foundation of Artificial Intelligence and Machine Learning](https://invisiblenetwork.ai/learn/nptel/106106202/a4c15720c816) (Video)
3. [Intelligent Autonomous Systems and Artificial Intelligence](https://invisiblenetwork.ai/learn/nptel/106106202/e9cda49e4ad6) (Video)
4. [Applications of Machine Learning](https://invisiblenetwork.ai/learn/nptel/106106202/54a3019010d4) (Video)
5. [Characterization of Learning Problems](https://invisiblenetwork.ai/learn/nptel/106106202/5d2b03331d03) (Video)
6. [Objects, Categories and Features](https://invisiblenetwork.ai/learn/nptel/106106202/bc5a93257e8a) (Video)
7. [Feature related issues](https://invisiblenetwork.ai/learn/nptel/106106202/37f71450f18e) (Video)
8. [Scenarios for Concept Learning](https://invisiblenetwork.ai/learn/nptel/106106202/96abfebaa239) (Video)
9. [Forms of Representation](https://invisiblenetwork.ai/learn/nptel/106106202/950b013b3c05) (Video)
10. [Decision Trees](https://invisiblenetwork.ai/learn/nptel/106106202/e79327d04811) (Video)
11. [Bayes (ian) Belief Networks](https://invisiblenetwork.ai/learn/nptel/106106202/c9a3fbff491d) (Video)
12. [Artificial Neural Networks](https://invisiblenetwork.ai/learn/nptel/106106202/da78867dbd7d) (Video)
13. [Genetic algorithm](https://invisiblenetwork.ai/learn/nptel/106106202/fe92655019fa) (Video)
14. [mod03lec16](https://invisiblenetwork.ai/learn/nptel/106106202/1a231eddf14f) (Video)
15. [Inductive Learning based on Symbolic Representations and Weak Theories](https://invisiblenetwork.ai/learn/nptel/106106202/826cf34ea014) (Video)
16. [Generalization as Search - Part 01](https://invisiblenetwork.ai/learn/nptel/106106202/6c43889cc68c) (Video)
17. [Generalization as Search - Part 02](https://invisiblenetwork.ai/learn/nptel/106106202/01895a27e3ce) (Video)
18. [Decision Tree Learning Algorithms - Part 01](https://invisiblenetwork.ai/learn/nptel/106106202/a6637ddab167) (Video)
19. [Decision Tree Learning Algorithms - Part 02](https://invisiblenetwork.ai/learn/nptel/106106202/b3f9b59f1eab) (Video)
20. [Instance Based Learning - Part 01](https://invisiblenetwork.ai/learn/nptel/106106202/29edfb251352) (Video)
21. [Instance Based Learning - Part 02](https://invisiblenetwork.ai/learn/nptel/106106202/8ed6b9634101) (Video)
22. [mod04lec25](https://invisiblenetwork.ai/learn/nptel/106106202/0d6e72d56f95) (Video)
23. [Machine Learning enabled by Prior Theories](https://invisiblenetwork.ai/learn/nptel/106106202/81c6cf9fdd89) (Video)
24. [Explanation Based Learning](https://invisiblenetwork.ai/learn/nptel/106106202/7de2279889c4) (Video)
25. [Inductive Logic Programming](https://invisiblenetwork.ai/learn/nptel/106106202/08b63a83bc34) (Video)
26. [Reinforcement Learning - Part 01 Introduction](https://invisiblenetwork.ai/learn/nptel/106106202/169859323ff1) (Video)
27. [Reinforcement Learning - Part 02 Learning Algorithms](https://invisiblenetwork.ai/learn/nptel/106106202/8def1a66c365) (Video)
28. [Reinforcement Learning - Part 03 Q - Learning](https://invisiblenetwork.ai/learn/nptel/106106202/b4f6fd41f2c5) (Video)
29. [mod05lec33](https://invisiblenetwork.ai/learn/nptel/106106202/d9680f27c0f4) (Video)
30. [Fundamentals of Artificial Neural Networks - Part1](https://invisiblenetwork.ai/learn/nptel/106106202/ecdc75a7b6b7) (Video)
31. [Fundamentals of Artificial Neural Networks - Part2](https://invisiblenetwork.ai/learn/nptel/106106202/8485a934df36) (Video)
32. [Perceptrons](https://invisiblenetwork.ai/learn/nptel/106106202/439afa3f1ea9) (Video)
33. [Model of Neuron in an ANN](https://invisiblenetwork.ai/learn/nptel/106106202/56de115b1b0b) (Video)
34. [Learning in a Feed Forward Multiple Layer ANN - Backpropagation](https://invisiblenetwork.ai/learn/nptel/106106202/abf4d9409f94) (Video)
35. [Recurrent Neural Networks](https://invisiblenetwork.ai/learn/nptel/106106202/4407dac84166) (Video)
36. [Hebbian Learning and Associative Memory](https://invisiblenetwork.ai/learn/nptel/106106202/db160e4eab2b) (Video)
37. [Hopfield Networks and Boltzman Machines - Part 1](https://invisiblenetwork.ai/learn/nptel/106106202/7d171a93541b) (Video)
38. [Hopfield Networks and Boltzman Machines - Part 2](https://invisiblenetwork.ai/learn/nptel/106106202/6ec835d49a34) (Video)
39. [Convolutional Neural Networks - Part 1](https://invisiblenetwork.ai/learn/nptel/106106202/c253ca89ef38) (Video)
40. [Convolutional Neural Networks - Part 2](https://invisiblenetwork.ai/learn/nptel/106106202/8cd151b6a815) (Video)
41. [mod06lec46](https://invisiblenetwork.ai/learn/nptel/106106202/7c6d4cf0ef70) (Video)
42. [Tools and Resources](https://invisiblenetwork.ai/learn/nptel/106106202/7cf1b674ae65) (Video)
43. [Interdisciplinary Inspiration](https://invisiblenetwork.ai/learn/nptel/106106202/089aa775f647) (Video)
44. [Lecture 8.2 - Introduction to a Systematic Example](https://invisiblenetwork.ai/learn/nptel/106106202/4ea57341db96) (Video)
45. [ML Course Week 8.3](https://invisiblenetwork.ai/learn/nptel/106106202/64be08423af5) (Video)
46. [Live Session 24-02-2021](https://invisiblenetwork.ai/learn/nptel/106106202/ee3dd3969cc5-2) (Video)
47. [Live Session 06-04-2021](https://invisiblenetwork.ai/learn/nptel/106106202/a4c15720c816-2) (Video)