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New Machine Learning and Data Science Books – Save 20%


New books include Statistical Learning with Sparsity: The Lasso and Generalizations, Statistical Reinforcement Learning: Modern Machine Learning Approaches, and Healthcare Data Analytics. Use Promotion Code GZP42 to save 20% off.



Introducing New Titles on Machine Learning and Data Science

From Chapman & Hall/CRC Press

Statistical Learning with Sparsity: The Lasso and Generalizations Statistical Learning with Sparsity: The Lasso and Generalizations

Trevor Hastie, Robert Tibshirani, Martin Wainwright

A sparse statistical model has only a small number of nonzero parameters or weights; therefore, it is much easier to estimate and interpret than a dense model. Statistical Learning with Sparsity: The Lasso and Generalizations presents methods that exploit sparsity to help recover the underlying signal in a set of data...

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Statistical Reinforcement Learning: Modern Machine Learning Approaches Statistical Reinforcement Learning: Modern Machine Learning Approaches

Masashi Sugiyama

Supplying an up-to-date and accessible introduction to the field, Statistical Reinforcement Learning: Modern Machine Learning Approaches presents fundamental concepts and practical algorithms of statistical reinforcement learning from the modern machine learning viewpoint. It covers various types of RL approaches, including model-based and model-free approaches, policy iteration, and policy search methods.

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Healthcare Data Analytics Healthcare Data Analytics

Chandan K. Reddy, Charu C. Aggarwal

At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many healthcare-related disciplines. Supplying a comprehensive overview of recent healthcare analytics research, Healthcare Data Analytics provides a clear understanding of the analytical techniques currently available to solve healthcare problems.

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Go to www.crcpress.com, Use Promotion Code GZP42 to save 20% off your purchase today!

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