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Introduction to the Machine Learning Course

Foundation of Artificial Intelligence and Machine Learning

Intelligent Autonomous Systems and Artificial Intelligence

Characterization of Learning Problems

Objects, Categories and Features

Feature related issues

Forms of Representation

Decision Trees

Bayes (ian) Belief Networks

Artificial Neural Networks

Genetic algorithm

Inductive Learning based on Symbolic Representations and Weak Theories

Generalization as Search - Part 01

Generalization as Search - Part 02

Decision Tree Learning Algorithms - Part 01

Decision Tree Learning Algorithms - Part 02

Instance Based Learning - Part 01

Instance Based Learning - Part 02

Machine Learning enabled by Prior Theories

Explanation Based Learning

Inductive Logic Programming

Reinforcement Learning - Part 01 Introduction

Reinforcement Learning - Part 02 Learning Algorithms

Reinforcement Learning - Part 03 Q - Learning

Fundamentals of Artificial Neural Networks - Part1

Fundamentals of Artificial Neural Networks - Part2

Perceptrons

Model of Neuron in an ANN

Learning in a Feed Forward Multiple Layer ANN - Backpropagation

Recurrent Neural Networks

Hebbian Learning and Associative Memory

Hopfield Networks and Boltzman Machines - Part 1

Hopfield Networks and Boltzman Machines - Part 2

Convolutional Neural Networks - Part 1

Convolutional Neural Networks - Part 2

Tools and Resources

Interdisciplinary Inspiration

Description:

COURSE OUTLINE: The scientific discipline of Machine Learning focuses on developing algorithms to find patterns or make predictions from empirical data. It is a classical sub-discipline within Artificial Intelligence (AI). The discipline is increasingly used by many professions and industries to optimize processes and implement adaptive systems. The course places machine learning in its context within AI and gives an introduction to the most important core techniques such as decision tree-based inductive learning, inductive logic programming, reinforcement learning and deep learning through decision trees.

Machine Learning

NPTEL

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#Computer Science #Machine Learning #Artificial Intelligence #Reinforcement Learning #Genetic Algorithms #Decision Trees #Neural Networks #Backpropagation

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