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经典好书《Statistical Learning Theory》读书内容简介: 作者简介详情
经典好书《Learning from Las Vegas - Revised Edition》读书内容简介:s created a healthy controversy on its appearance in 1972, calling for architects to be more receptive to the tastes and valu...详情
经典好书《Learning Regular Expressions》读书内容简介:tems’ Senior Director of Education Initiatives. He is also the author of numerous books on SQL, regular expressions, ColdFusi...详情
经典好书《Machine Learning in Action》读书内容简介:ta is the new "dirt"—the raw material from which and on which you build the structures of the modern world. And like dirt, da...详情
经典好书《Reinforcement Learning》读书内容简介:nded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artifi...详情
经典好书《A First Course in Machine Learning》读书内容简介:算机科学学院讲师，主讲硕士生的机器学习课程。Rogers博士是机器学习领域的一位活跃研究者，研究兴趣包括代谢组学数据分析和概率机器学习技术在人机交互领域的应用。Mark Girolami 英国伦敦大学学院（UCL）统计系主任和计算机科学...详情
经典好书《Information Theory, Inference and Learning Algorithms》读书内容简介: inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - commun...详情
经典好书《Hands-On Machine Learning with TensorFlow.js》读书内容简介:mework that enables you to create performant machine learning (ML) applications that run smoothly in a web browser. With this...详情
经典好书《Advances in Financial Machine Learning》读书内容简介:is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans ...详情
经典好书《Introduction to Machine Learning, Second Edition (Adaptive Computation and Machine Learning)》读书内容简介:arning is to program computers to use example data or past experience to solve a given problem. Many successful applications ...详情