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Online Course

Machine Learning,ML

KTH Royal Institute of Technology and NPTEL via Swayam

106

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Overview

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.

Syllabus

Week 1  :  Introduction to Artificial Intelligence and the role of Machine Learning (ML)
Week 2  :   Decision tree based inductive learning
Week 3  : Conceptual clustering
Week 4  :  Inductive logic programming
Week 5  :  Deep learning through Neural networks
Week 6  :  Applications of machine learning - datamining
Week 7  :  Reinforcement learning
Week 8  :  ML Toolboxes and dedicated hardware

Taught by

Prof. Carl Gustaf Jansson Prof. Henrik Boström Prof. Fredrik Kilander

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