Statistical Learning: Data Mining, Inference, and Prediction in Machine Learning

Title: Statistical Learning Elements (2nd Edition)

Publisher: Tsinghua University Press

Publication Date: December 1, 2020

Description: This paperback edition of "Statistical Learning Elements: Data Mining, Inference, and Prediction in Machine Learning" provides a general conceptual framework for understanding the essence of statistical learning. With 576 pages, this book delves into important concepts and techniques that are essential for anyone interested in the field of machine learning.

Written by experts in the field, this second edition covers topics such as data mining, inference, and prediction in a comprehensive manner. Readers will gain valuable insights into the principles underlying statistical learning, as well as practical applications in real-world scenarios.

The authors take a systematic approach to explaining key ideas and methodologies, ensuring that readers can grasp complex concepts with ease. Whether you are a student, researcher, or practitioner in the field, this book serves as a valuable resource for enhancing your understanding of statistical learning.

Get your hands on this invaluable resource today and unlock the potential of statistical learning in the world of machine learning. Order your copy of "Statistical Learning Elements: Data Mining, Inference, and Prediction in Machine Learning" (2nd Edition) from Tsinghua University Press now.

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