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Prediction and Analysis for Knowledge Representation and Machine Learning: Prediction and Analysis for Knowledge Representation and Machine Learning
Hardback

Prediction and Analysis for Knowledge Representation and Machine Learning: Prediction and Analysis for Knowledge Representation and Machine Learning

$272.99
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1) This book illustrates different techniques and structures t used in knowledge representation and machine learning. It will give the readers an insight into various challenges and also design a structure for knowledge representation in machine learning.
2) The aim of this book is to draw the attention of the researchers and practitioners who all are working in field of information technology and computer science in knowledge representation in machine learning for basic and advance concepts as well. These days it has become very essential to develop adaptive, robust, scalable and reliable applications and also design solutions for day to day problems. The edited book will be helpful for the industry people and will also help beginners as well as high level users for learning latest things which includes basic and advance concepts. It’s highly complementary to other books in the market.
3) Unlike its competition, this book has a strong focus on applications

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MORE INFO
Format
Hardback
Publisher
Taylor & Francis Ltd
Country
United Kingdom
Date
31 January 2022
Pages
220
ISBN
9780367649104

1) This book illustrates different techniques and structures t used in knowledge representation and machine learning. It will give the readers an insight into various challenges and also design a structure for knowledge representation in machine learning.
2) The aim of this book is to draw the attention of the researchers and practitioners who all are working in field of information technology and computer science in knowledge representation in machine learning for basic and advance concepts as well. These days it has become very essential to develop adaptive, robust, scalable and reliable applications and also design solutions for day to day problems. The edited book will be helpful for the industry people and will also help beginners as well as high level users for learning latest things which includes basic and advance concepts. It’s highly complementary to other books in the market.
3) Unlike its competition, this book has a strong focus on applications

Read More
Format
Hardback
Publisher
Taylor & Francis Ltd
Country
United Kingdom
Date
31 January 2022
Pages
220
ISBN
9780367649104