"从统计到机器学习:实用入门指南"
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"Statistics: The Art and Science of Learning from Data" is a comprehensive introduction to the field of statistics, covering everything from the basics to advanced machine learning methods and algorithms. The book takes a hands-on approach, with a mentorship style that guides readers through the material in a clear and practical manner. Rich in examples and real-world applications, it is perhaps one of the most accessible books on machine learning for beginners.
Perfect for readers with no prior background in statistics, the book has a beginner-friendly rating of 4.8 out of 5 stars. Authored by Alan Agresti, Christine Franklin, and Bernhard Klingenberg, with contributions from Michael Posner, the book offers a global perspective on the subject, making it relevant and valuable for readers worldwide. Whether you are a novice or experienced learner, this book provides a solid foundation for understanding and applying statistical concepts in various fields.
With its engaging and informative content, "Statistics: The Art and Science of Learning from Data" is a must-read for anyone looking to delve into the world of statistics and machine learning. Its practical approach and wealth of examples make it an invaluable resource for students, professionals, and enthusiasts alike.
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