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
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...
Read more.
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.
Read more
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.
Read more
Go to www.crcpress.com, Use Promotion Code GZP42 to save 20% off your purchase today!
From Chapman & Hall/CRC Press
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...
Read more.
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.
Read more
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.
Read more
Go to www.crcpress.com, Use Promotion Code GZP42 to save 20% off your purchase today!
