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020			_a9781394268962
020			_a139426898X _qelectronic book
020			_a1394268998 _qelectronic book
020			_a9781394268986 _qelectronic book
020			_a9781394268993 _qelectronic book
020			_z1394268963 _qhardcover
020			_z9781394268962 _qhardcover
035			_a(OCoLC)1449623589 _z(OCoLC)1449587297
040			_aYDX _beng _erda _cYDX _dYDX _dOCLCO _dDG1 _dOCLKB _dEBLCP _dSFB
041			_aeng
050		4	_aQ325.5 _b.P73 2024
082	0	4	_a006.3/1 _223/eng/20240807
100	1		_aPrakash, Kolla Bhanu _0https://id.loc.gov/authorities/names/no2021026558 _eauthor.
245	1	0	_aMachine learning for industrial applications / _cKolla Bhanu Prakash.
264		1	_aHoboken, NJ : _bJohn Wiley & Sons, Inc. ; _aBeverly, MA : _bScrivener Publishing LLC, _c2024.
264		4	_c©2024.
300			_a1 online resource.
336			_atext _btxt _2rdacontent.
337			_acomputer _bc _2rdamedia.
338			_aonline resource _bcr _2rdacarrier.
340			_2rdacc _0http://rdaregistry.info/termList/RDAColourContent/1003.
490	1		_aNext-generation computing and communication engineering.
505	0		_aTable of Contents Preface xix 1 Overview of Machine Learning 1 2 Machine Learning Building Blocks 21 3 Multilayer Perceptron (in Neural Networks) 51 4 Kernel Machines 63 5 Linear and Rule-Based Models 73 6 Distance-Based Models 87 7 Model Ensembles 103 8 Binary and Beyond Binary Classification 117 9 Model Selection 127 10 Support Vector Machines 149 11 Clustering 177 12 Reinforcement Learning 205 13 Recommender Systems 225 14 Advancements in Deep Learning 245 15 Advanced Deep Learning Using Julia Programming 277 16 Machine Learning for Industrial Applications 297 Index 317
520			_aWelcome to the exciting world of machine learning! In recent years, machine learning has rapidly transformed from a niche field within computer science to a fundamental technology shaping various aspects of our lives. Whether you realize it or not, machine learning algorithms are at work behind the scenes, powering recommendation systems, autonomous vehicles, virtual assistants, medical diagnostics, and much more. This book is designed to serve as your comprehensive guide to understanding the principles, algorithms, and applications of machine learning. Whether a student diving into this field for the first time, a seasoned professional looking to broaden your skillset, or an enthusiast eager to explore cutting-edge advancements, this book has something for you. The primary goal of Machine Learning for Industrial Applications is to demystify machine learning and make it accessible to a wide audience. It provides a solid foundation in the fundamental concepts of machine learning, covering both the theoretical underpinnings and practical applications. Whether you're interested in supervised learning, unsupervised learning, reinforcement learning, or innovative techniques like deep learning, you'll find comprehensive coverage here. Throughout the book, a hands-on approach is emphasized. As the best way to learn machine learning is by doing, the book includes numerous examples, exercises, and real-world case studies to reinforce your understanding and practical skills.
545	0		_aAbout the Author Kolla Bhanu Prakash, PhD, is a professor and associate dean and R & D head for A.I. & Data Science Research Group at K L University, Vijayawada, Andhra Pradesh, India. He is also an adjunct professor at Taylors University, Malaysia. He has published 150+ research papers in international and national journals and conferences. He has authored two and edited 12 books as well as published 15 patents. His research interests include deep learning, data science, and quantum computing. He has received the ‘Best Researcher Award’ 4 times.
650		0	_aMachine learning _0https://id.loc.gov/authorities/subjects/sh85079324 _xIndustrial applications. _0https://id.loc.gov/authorities/subjects/sh00006117.
655		4	_aElectronic books.
830		0	_aNext-generation computing and communication engineering.
856			_uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781394268993 _yFull text is available at Wiley Online Library Click here to view
942			_2ddc _cER