Artificial Intelligence And Machine Learning

Artificial Intelligence And Machine Learning
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Artificial Intelligence And Machine Learning

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Publisher: PHI Learning
ISBN: 9788120349346
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Availability: In Stock
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About The Book Artificial Intelligence And Machine Learning
Book Summary:

Primarily intended for the undergraduate and postgraduate students of computer science and engineering, this text bridges the gaps in knowledge of the seemingly difficult areas of artificial intelligence and machine learning.

This book promises to provide the most number of case studies and worked out examples than any other of its genre. The text is written in a highly interactive manner which makes for an avid reading. More into the text, the contents are well placed that it takes off from the introduction to AI, which is followed by heuristics searching and game playing. The machine learning section begins with the basis of learning, and the various association rule learning algorithms. Various types of learning like, reinforced, supervised, unsupervised and statistical are also included with numerous case studies and application exercises. The well explained algorithms and pseudo codes for each topic make this book useful for students.


KEY FEATURES


Includes Case studies for each machine learning algorithm

Incorporates day to day examples and pictorial representations for a deeper understanding of the subject

Helps students to create programs easily


Table of Contents:

Preface Acknowledgements


1. INTRODUCTION


2. HEURISTIC SEARCH TECHNIQUES


3. GAME PLAYING


4. KNOWLEDGE REPRESENTATION


5. KNOWLEDGE REPRESENTATION STRUCTURES


6. REASONING


7. LEARNING


8. ASSOCIATION LEARNING


9. CLUSTERING


10. REINFORCEMENT LEARNING


11. STATISTICAL LEARNING


12. ARTIFICIAL NEURAL NETS


13. SUPERVISED LEARNING


14. UNSUPERVISED LEARNING


15. EXPERT SYSTEMS


Index