| Sl.No | Chapter Name | MP4 Download |
|---|---|---|
| 1 | Introduction to the Machine Learning Course | Download |
| 2 | Foundation of Artificial Intelligence and Machine Learning | Download |
| 3 | Intelligent Autonomous Systems and Artificial Intelligence | Download |
| 4 | Applications of Machine Learning | Download |
| 5 | Tutorial for week01 | Download |
| 6 | Characterization of Learning Problems | Download |
| 7 | Objects, Categories and Features | Download |
| 8 | Feature related issues | Download |
| 9 | Scenarios for Concept Learning | Download |
| 10 | Tutorial for week02 | Download |
| 11 | Forms of Representation | Download |
| 12 | Decision Trees | Download |
| 13 | Bayes (ian) Belief Networks | Download |
| 14 | Artificial Neural Networks | Download |
| 15 | Tutorial for week03 | Download |
| 16 | Genetic algorithm | Download |
| 17 | Logic Programming | Download |
| 18 | Inductive Learning based on Symbolic Representations and Weak Theories | Download |
| 19 | Generalization as Search - Part 01 | Download |
| 20 | Generalization as Search - Part 02 | Download |
| 21 | Decision Tree Learning Algorithms - Part 01 | Download |
| 22 | Decision Tree Learning Algorithms - Part 02 | Download |
| 23 | Instance Based Learning - Part 01 | Download |
| 24 | Instance Based Learning - Part 02 | Download |
| 25 | Cluster Analysis | Download |
| 26 | Tutorial for week04 | Download |
| 27 | Machine Learning enabled by Prior Theories | Download |
| 28 | Explanation Based Learning | Download |
| 29 | Inductive Logic Programming | Download |
| 30 | Reinforcement Learning - Part 01 Introduction | Download |
| 31 | Reinforcement Learning - Part 02 Learning Algorithms | Download |
| 32 | Reinforcement Learning - Part 03 Q - Learning | Download |
| 33 | Case - Based Reasoning | Download |
| 34 | Tutorial for week05 | Download |
| 35 | Fundamentals of Artificial Neural Networks - Part1 | Download |
| 36 | Fundamentals of Artificial Neural Networks - Part2 | Download |
| 37 | Perceptrons | Download |
| 38 | Model of Neuron in an ANN | Download |
| 39 | Learning in a Feed Forward Multiple Layer ANN - Backpropagation | Download |
| 40 | Recurrent Neural Networks | Download |
| 41 | Hebbian Learning and Associative Memory | Download |
| 42 | Hopfield Networks and Boltzman Machines - Part 1 | Download |
| 43 | Hopfield Networks and Boltzman Machines - Part 2 | Download |
| 44 | Convolutional Neural Networks - Part 1 | Download |
| 45 | Convolutional Neural Networks - Part 2 | Download |
| 46 | DeepLearning | Download |
| 47 | Tutorial for week05 | Download |
| 48 | Tools and Resources | Download |
| 49 | Interdisciplinary Inspiration | Download |
| 50 | Preparation for Exam and Example of Applications | Download |
| Sl.No | Chapter Name | English |
|---|---|---|
| 1 | Introduction to the Machine Learning Course | Download Verified |
| 2 | Foundation of Artificial Intelligence and Machine Learning | Download Verified |
| 3 | Intelligent Autonomous Systems and Artificial Intelligence | Download Verified |
| 4 | Applications of Machine Learning | Download Verified |
| 5 | Tutorial for week01 | Download Verified |
| 6 | Characterization of Learning Problems | Download Verified |
| 7 | Objects, Categories and Features | Download Verified |
| 8 | Feature related issues | Download Verified |
| 9 | Scenarios for Concept Learning | Download Verified |
| 10 | Tutorial for week02 | Download Verified |
| 11 | Forms of Representation | Download Verified |
| 12 | Decision Trees | Download Verified |
| 13 | Bayes (ian) Belief Networks | Download Verified |
| 14 | Artificial Neural Networks | Download Verified |
| 15 | Tutorial for week03 | Download Verified |
| 16 | Genetic algorithm | Download Verified |
| 17 | Logic Programming | Download Verified |
| 18 | Inductive Learning based on Symbolic Representations and Weak Theories | Download Verified |
| 19 | Generalization as Search - Part 01 | Download Verified |
| 20 | Generalization as Search - Part 02 | Download Verified |
| 21 | Decision Tree Learning Algorithms - Part 01 | Download Verified |
| 22 | Decision Tree Learning Algorithms - Part 02 | Download Verified |
| 23 | Instance Based Learning - Part 01 | Download Verified |
| 24 | Instance Based Learning - Part 02 | Download Verified |
| 25 | Cluster Analysis | Download Verified |
| 26 | Tutorial for week04 | Download Verified |
| 27 | Machine Learning enabled by Prior Theories | Download Verified |
| 28 | Explanation Based Learning | Download Verified |
| 29 | Inductive Logic Programming | Download Verified |
| 30 | Reinforcement Learning - Part 01 Introduction | Download Verified |
| 31 | Reinforcement Learning - Part 02 Learning Algorithms | Download Verified |
| 32 | Reinforcement Learning - Part 03 Q - Learning | Download Verified |
| 33 | Case - Based Reasoning | Download Verified |
| 34 | Tutorial for week05 | Download Verified |
| 35 | Fundamentals of Artificial Neural Networks - Part1 | Download Verified |
| 36 | Fundamentals of Artificial Neural Networks - Part2 | Download Verified |
| 37 | Perceptrons | PDF unavailable |
| 38 | Model of Neuron in an ANN | Download Verified |
| 39 | Learning in a Feed Forward Multiple Layer ANN - Backpropagation | PDF unavailable |
| 40 | Recurrent Neural Networks | Download Verified |
| 41 | Hebbian Learning and Associative Memory | Download Verified |
| 42 | Hopfield Networks and Boltzman Machines - Part 1 | Download Verified |
| 43 | Hopfield Networks and Boltzman Machines - Part 2 | Download Verified |
| 44 | Convolutional Neural Networks - Part 1 | Download Verified |
| 45 | Convolutional Neural Networks - Part 2 | Download Verified |
| 46 | DeepLearning | Download Verified |
| 47 | Tutorial for week05 | Download Verified |
| 48 | Tools and Resources | Download Verified |
| 49 | Interdisciplinary Inspiration | Download Verified |
| 50 | Preparation for Exam and Example of Applications | Download Verified |
| Sl.No | Language | Book link |
|---|---|---|
| 1 | English | Download |
| 2 | Bengali | Not Available |
| 3 | Gujarati | Not Available |
| 4 | Hindi | Not Available |
| 5 | Kannada | Not Available |
| 6 | Malayalam | Not Available |
| 7 | Marathi | Not Available |
| 8 | Tamil | Not Available |
| 9 | Telugu | Not Available |