Data Science and Machine Learning Mathematical and Statistical Methods Second Edition | Statistics

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Praise for the first edition: “In nine succinct but information-packed chapters the authors provide a logically structured and robust introduction to the mathematical and statistical methods underpinning the still-evolving field of AI and data science.” - Joacim Rocklöv and Albert A. Gayle International Journal of Epidemiology Volume 49 Issue 6 “This book organizes the algorithms clearly and cleverly. The way the Python code was written follows the algorithm closely-very useful for readers who wish to understand the rationale and flow of the background knowledge.” - Yin-Ju Lai and Chuhsing Kate Hsiao Biometrics Volume 77 Issue 4 The purpose of Data Science and Machine Learning: Mathematical…