Practical Statistics for Data Scientists is a book that provides a comprehensive guide to statistical analysis for data scientists. The book covers a wide range of statistical techniques, including probability, hypothesis testing, regression analysis, and machine learning. It also includes practical examples and case studies to help readers understand how to apply statistical methods to real-world problems. The book is written in a clear and concise style, making it accessible to both beginners and experienced data scientists. Overall, Practical Statistics for Data Scientists is a valuable resource for anyone looking to improve their statistical analysis skills.
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