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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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3
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Practical Time Series Analysis : Prediction with Statistics and Machine Learning / Aileen Nielsen
UK : O'Reilly Media, 2019
497 p. : illustration ; 26 cm.
Ký hiệu phân loại (DDC): 005
Time series data analysis is increasingly important due to the massive production of such data through the internet of things, the digitalization of healthcare, and the rise of smart cities. As continuous monitoring and data collection become more common, the need for competent time series analysis with both statistical and machine learning techniques will increase.
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4
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The Hundred-Page Machine Learning Book / Andriy Burkov
New Jersey : Andriy Burkov, 2019
160 pages. ; cm.
Ký hiệu phân loại (DDC): 006.31
This book does not require any advanced mathematics or statistics training or even programming experience, so it should be available to most anyone willing to invest the time to learn about these methods. accessible. It is certainly a must read for anyone starting a PhD program in this field and will serve as a useful reference as they progress further. Finally, the book illustrates several algorithms using Python code, one of the most popular coding languages for machine learning.
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5
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