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Fundamentals of pattern recognition and machine learning / Ulisses de Mendonça Braga-Neto
Switzerland : Springer, 2020
xviii, 357 pages : illustrations ; 26 cm.
Ký hiệu phân loại (DDC): 006.4
Fundamentals of Pattern Recognition and Machine Learning is designed for a one or two-semester introductory course in Pattern Recognition or Machine Learning at the graduate or advanced undergraduate level. The book combines theory and practice and is suitable to the classroom and self-study. The book is intended to be concise but thorough.
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Introduction to pattern recognition and machine learning / M. Narasimha Murty, V. Susheela Devi
New Jersey : World Scientific, 2015
383 pages. ; 23 cm.
Ký hiệu phân loại (DDC): 003.5
This book adopts a detailed and methodological algorithmic approach to explain the concepts of pattern recognition; while the text provides a systematic account of its major topics such as pattern representation and nearest neighbour based classifiers, current topics -- neural networks, support vector machines and decision trees -- attributed to the recent vast progress in this field are also dealt with; introduction to Pattern Recognition and Machine Learning will equip readers, especially senior computer science undergraduates, with a deeper understanding of the subject matter.
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Machine learning and artificial intelligence / Ameet V. Joshi
Cham, Switzerland : Springer, 2020
262 pages. : illustrations (black and white, and colour)
Ký hiệu phân loại (DDC): 006.3
The new edition of this popular professional book on artificial intelligence (ML) and machine learning (ML) has been revised for classroom or training use. The new edition provides comprehensive coverage of combined AI and ML theory and applications. Rather than looking at the field from only a theoretical or only a practical perspective, this book unifies both perspectives to give holistic understanding. The first part introduces the concepts of AI and ML and their origin and current state.
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Practical machine learning for computer vision : end-to-end machine learning for images / Valliappa Lakshmanan, Martin Görner, Ryan Gillard
CA, Sebastopol : O'Reilly Media Inc., 2021
xvi, 463 pages. : illustrations ; cm.
Ký hiệu phân loại (DDC): 006.37
This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques.
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5
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Soft computing and machine learning with Python / Zoran Gacovski
Oakville, ON : Arcler Press, 2019
380 pages
Ký hiệu phân loại (DDC): 005.133
Examines various aspects of machine learning with python, including detailed information on soft computing. Coverage includes soft computing theory and machine learning techniques, the python language, and machine learning with python.
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