Modules / Lectures
Module NameDownload
noc20_cs49_assigment_1noc20_cs49_assigment_1
noc20_cs49_assigment_2noc20_cs49_assigment_2
noc20_cs49_assigment_3noc20_cs49_assigment_3
noc20_cs49_assigment_4noc20_cs49_assigment_4
noc20_cs49_assigment_5noc20_cs49_assigment_5
noc20_cs49_assigment_6noc20_cs49_assigment_6
noc20_cs49_assigment_7noc20_cs49_assigment_7


Sl.No Chapter Name MP4 Download
1Introduction to the Machine Learning CourseDownload
2Foundation of Artificial Intelligence and Machine Learning Download
3Intelligent Autonomous Systems and Artificial IntelligenceDownload
4Applications of Machine LearningDownload
5Tutorial for week01Download
6Characterization of Learning ProblemsDownload
7Objects, Categories and FeaturesDownload
8Feature related issuesDownload
9Scenarios for Concept LearningDownload
10Tutorial for week02Download
11Forms of RepresentationDownload
12Decision TreesDownload
13Bayes (ian) Belief NetworksDownload
14Artificial Neural NetworksDownload
15Tutorial for week03Download
16Genetic algorithmDownload
17Logic ProgrammingDownload
18Inductive Learning based on Symbolic Representations and Weak TheoriesDownload
19Generalization as Search - Part 01Download
20Generalization as Search - Part 02Download
21Decision Tree Learning Algorithms - Part 01Download
22Decision Tree Learning Algorithms - Part 02Download
23Instance Based Learning - Part 01Download
24Instance Based Learning - Part 02Download
25Cluster AnalysisDownload
26Tutorial for week04Download
27Machine Learning enabled by Prior TheoriesDownload
28Explanation Based LearningDownload
29Inductive Logic ProgrammingDownload
30Reinforcement Learning - Part 01 IntroductionDownload
31Reinforcement Learning - Part 02 Learning AlgorithmsDownload
32Reinforcement Learning - Part 03 Q - LearningDownload
33Case - Based ReasoningDownload
34Tutorial for week05Download
35Fundamentals of Artificial Neural Networks - Part1Download
36Fundamentals of Artificial Neural Networks - Part2Download
37PerceptronsDownload
38Model of Neuron in an ANNDownload
39Learning in a Feed Forward Multiple Layer ANN - BackpropagationDownload
40Recurrent Neural NetworksDownload
41Hebbian Learning and Associative MemoryDownload
42Hopfield Networks and Boltzman Machines - Part 1Download
43Hopfield Networks and Boltzman Machines - Part 2Download
44Convolutional Neural Networks - Part 1Download
45Convolutional Neural Networks - Part 2Download
46DeepLearningDownload
47Tutorial for week05 Download
48Tools and ResourcesDownload
49Interdisciplinary InspirationDownload
50Preparation for Exam and Example of ApplicationsDownload

Sl.No Chapter Name English
1Introduction to the Machine Learning CourseDownload
Verified
2Foundation of Artificial Intelligence and Machine Learning Download
Verified
3Intelligent Autonomous Systems and Artificial IntelligenceDownload
Verified
4Applications of Machine LearningDownload
Verified
5Tutorial for week01Download
Verified
6Characterization of Learning ProblemsDownload
Verified
7Objects, Categories and FeaturesDownload
Verified
8Feature related issuesDownload
Verified
9Scenarios for Concept LearningDownload
Verified
10Tutorial for week02Download
Verified
11Forms of RepresentationDownload
Verified
12Decision TreesDownload
Verified
13Bayes (ian) Belief NetworksDownload
Verified
14Artificial Neural NetworksDownload
Verified
15Tutorial for week03Download
Verified
16Genetic algorithmDownload
Verified
17Logic ProgrammingDownload
Verified
18Inductive Learning based on Symbolic Representations and Weak TheoriesDownload
Verified
19Generalization as Search - Part 01Download
Verified
20Generalization as Search - Part 02Download
Verified
21Decision Tree Learning Algorithms - Part 01Download
Verified
22Decision Tree Learning Algorithms - Part 02Download
Verified
23Instance Based Learning - Part 01Download
Verified
24Instance Based Learning - Part 02Download
Verified
25Cluster AnalysisDownload
Verified
26Tutorial for week04Download
Verified
27Machine Learning enabled by Prior TheoriesDownload
Verified
28Explanation Based LearningDownload
Verified
29Inductive Logic ProgrammingDownload
Verified
30Reinforcement Learning - Part 01 IntroductionDownload
Verified
31Reinforcement Learning - Part 02 Learning AlgorithmsDownload
Verified
32Reinforcement Learning - Part 03 Q - LearningDownload
Verified
33Case - Based ReasoningDownload
Verified
34Tutorial for week05Download
Verified
35Fundamentals of Artificial Neural Networks - Part1Download
Verified
36Fundamentals of Artificial Neural Networks - Part2Download
Verified
37PerceptronsPDF unavailable
38Model of Neuron in an ANNDownload
Verified
39Learning in a Feed Forward Multiple Layer ANN - BackpropagationPDF unavailable
40Recurrent Neural NetworksDownload
Verified
41Hebbian Learning and Associative MemoryDownload
Verified
42Hopfield Networks and Boltzman Machines - Part 1Download
Verified
43Hopfield Networks and Boltzman Machines - Part 2Download
Verified
44Convolutional Neural Networks - Part 1Download
Verified
45Convolutional Neural Networks - Part 2Download
Verified
46DeepLearningDownload
Verified
47Tutorial for week05 Download
Verified
48Tools and ResourcesDownload
Verified
49Interdisciplinary InspirationDownload
Verified
50Preparation for Exam and Example of ApplicationsPDF unavailable


Sl.No Language Book link
1EnglishNot Available
2BengaliNot Available
3GujaratiNot Available
4HindiNot Available
5KannadaNot Available
6MalayalamNot Available
7MarathiNot Available
8TamilNot Available
9TeluguNot Available