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Data Science and Machine Learning: Mathematical and Statistical Methods, Second Edition
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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...