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Machine Learning : A Practitioner's Approach | By Vinod Chandra | Revised Edition | PHI Publication ( English Medium )
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| 689-895 |
Machine Learning : A Practitioner's Approach | By Vinod Chandra | Revised Edition | PHI Publication ( English Medium ).
The present book is primarily intended for undergraduate and postgraduate students of computer science and engineering, information technology, and electrical and electronics engineering. It bridges the gaps in knowledge of the seemingly difficult areas of machine learning and nature inspired computing. The text is written in a highly interactive manner, which satisfies the learning curiosity of any reader. Content of the text has been diligently organized to offer seamless learning experience. The text begins with introduction to machine learning, which is followed by explanation of different aspects of machine learning. Various supervised, unsupervised, reinforced and nature inspired learning techniques are included in the textbook with numerous examples and case studies. Different aspects of new machine learning and nature inspired learning algorithms are explained in-depth. The well-explained algorithms and pseudocodes for each topic make this book useful for students. The book also throws light on areas like prediction and classification systems. Key FeaturesDay to day examples and pictorial representations for deeper understanding of the subjectHelps readers easily create programs/applications Research oriented approach More case studies and worked-out examples for each machine learning algorithm than any other book. Machine Learning: A Practitioner's Approach" by Vinod Chandra, in its Revised Edition published by PHI (Prentice-Hall of India) Publication, is a comprehensive guide for individuals looking to delve into the practical aspects of machine learning. This book offers a hands-on approach to understanding and implementing various machine learning algorithms and techniques. It covers topics such as supervised learning, unsupervised learning, reinforcement learning, deep learning, natural language processing, and computer vision. Through clear explanations, code examples, and real-world applications, the book equips readers with the knowledge and skills necessary to apply machine learning techniques effectively in diverse domains.
About the Author
Vinod Chandra S S, PhD, is Director, Computer Centre, University of Kerala, and the Head of Machine Intelligence Research (MIR) group, a pinpoint research group in machine intelligence and nature-inspired techniques. Dr. Vinod is leading many research and development projects associated with universities and the government and holds many consultancy activities for government organizations. He has five IPRs and a patent in the field of machine learning. An author of six books and a modest number of research publications, he is a reviewer of many international journals and conferences. His research area includes machine intelligence algorithms and nature inspired computing.
Anand Hareendran S, PhD, is Associate Professor, Department of Computer Science and Engineering, Muthoot Institute of Technology and Science, Kochi. He has designed and implemented various rule-mining algorithms, which find application in medical field, route mapping and frequent item search. Dr. Anand is an author of two books, a modest number of research journal publications, and has two IPRs in machine learning algorithms. He is a reviewer in various international conferences and journals, and is an active member of Machine Intelligence Research group. His current area of research includes algorithms on machine learning, association rule mining and bio-inspired methodologies.
Search Key - Machine Learning Vinod Chandra, Vinod Chandra Machine Learning book, Machine Learning practitioner's approach, Machine Learning textbook PHI Publication, Revised edition of Machine Learning book, Practical Machine Learning techniques, Hands-on Machine Learning, Supervised learning methods, Unsupervised learning algorithms, Reinforcement learning basics, Deep learning concepts, Natural Language Processing (NLP) in Machine Learning, Computer Vision in Machine Learning, Machine Learning applications, Machine Learning tutorials, PHI Publication Machine Learning book, Machine Learning syllabus, Buy Machine Learning book online, Machine Learning book reviews, Best book for learning Machine Learnin Publisher : PHI Learning (28 February 2021), Language : English, Paperback : 624 pages, ISBN-10 : 9389347467, ISBN-13 : 978-9389347463.
| SKU, Publisher | PHI-Machine-Learning-(E) |
| Publisher | PHI Publication |
| Author, Edition | Vinod Chandra, Revised Edition, English Medium |
| Binding, Type | Paperback, New |
| No. of Pages | 624 |
Machine Learning : A Practitioner's Approach | By Vinod Chandra | Revised Edition | PHI Publication ( English Medium ).
The present book is primarily intended for undergraduate and postgraduate students of computer science and engineering, information technology, and electrical and electronics engineering. It bridges the gaps in knowledge of the seemingly difficult areas of machine learning and nature inspired computing. The text is written in a highly interactive manner, which satisfies the learning curiosity of any reader. Content of the text has been diligently organized to offer seamless learning experience. The text begins with introduction to machine learning, which is followed by explanation of different aspects of machine learning. Various supervised, unsupervised, reinforced and nature inspired learning techniques are included in the textbook with numerous examples and case studies. Different aspects of new machine learning and nature inspired learning algorithms are explained in-depth. The well-explained algorithms and pseudocodes for each topic make this book useful for students. The book also throws light on areas like prediction and classification systems. Key FeaturesDay to day examples and pictorial representations for deeper understanding of the subjectHelps readers easily create programs/applications Research oriented approach More case studies and worked-out examples for each machine learning algorithm than any other book. Machine Learning: A Practitioner's Approach" by Vinod Chandra, in its Revised Edition published by PHI (Prentice-Hall of India) Publication, is a comprehensive guide for individuals looking to delve into the practical aspects of machine learning. This book offers a hands-on approach to understanding and implementing various machine learning algorithms and techniques. It covers topics such as supervised learning, unsupervised learning, reinforcement learning, deep learning, natural language processing, and computer vision. Through clear explanations, code examples, and real-world applications, the book equips readers with the knowledge and skills necessary to apply machine learning techniques effectively in diverse domains.
About the Author
Vinod Chandra S S, PhD, is Director, Computer Centre, University of Kerala, and the Head of Machine Intelligence Research (MIR) group, a pinpoint research group in machine intelligence and nature-inspired techniques. Dr. Vinod is leading many research and development projects associated with universities and the government and holds many consultancy activities for government organizations. He has five IPRs and a patent in the field of machine learning. An author of six books and a modest number of research publications, he is a reviewer of many international journals and conferences. His research area includes machine intelligence algorithms and nature inspired computing.
Anand Hareendran S, PhD, is Associate Professor, Department of Computer Science and Engineering, Muthoot Institute of Technology and Science, Kochi. He has designed and implemented various rule-mining algorithms, which find application in medical field, route mapping and frequent item search. Dr. Anand is an author of two books, a modest number of research journal publications, and has two IPRs in machine learning algorithms. He is a reviewer in various international conferences and journals, and is an active member of Machine Intelligence Research group. His current area of research includes algorithms on machine learning, association rule mining and bio-inspired methodologies.
Search Key - Machine Learning Vinod Chandra, Vinod Chandra Machine Learning book, Machine Learning practitioner's approach, Machine Learning textbook PHI Publication, Revised edition of Machine Learning book, Practical Machine Learning techniques, Hands-on Machine Learning, Supervised learning methods, Unsupervised learning algorithms, Reinforcement learning basics, Deep learning concepts, Natural Language Processing (NLP) in Machine Learning, Computer Vision in Machine Learning, Machine Learning applications, Machine Learning tutorials, PHI Publication Machine Learning book, Machine Learning syllabus, Buy Machine Learning book online, Machine Learning book reviews, Best book for learning Machine Learnin Publisher : PHI Learning (28 February 2021), Language : English, Paperback : 624 pages, ISBN-10 : 9389347467, ISBN-13 : 978-9389347463.
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