"Practical Statistics for Data Scientists" is a book that focuses on teaching data scientists how to apply statistical concepts and techniques to their work effectively. The book covers topics such as probability, hypothesis testing, regression analysis, and machine learning. It also provides practical examples and case studies to help readers understand how to apply statistical concepts to real-world problems. Keywords include statistics, data scientists, probability, hypothesis testing, regression analysis, and machine learning.
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