In Part I, we acknowledge the historical contributions of control theory, game theory, economics, and neuroscience. This helps set the tone for a more integrated coverage of these ideas in subsequent chapters. In Part 11, online search algorithms ar
Bagging and boosting are two of the most well-known ensemble learning methods due to their theoretical performance guarantees and strong experimental results. However, these algorithms have been used mainly in batch mode, i.e., they require the enti
Over 60 practical recipes to help you explore Python and its robust data science capabilities About This Book The book is packed with simple and concise Python code examples to effectively demonstrate advanced concepts in action Explore concepts suc
The vast majority of searchers never make it past page two of Google or click on sponsored listings, so being at the top of the standard search results can literally transform your business. Having your site in the top 10 is like having a store near
Bagging and boosting are well-known ensemble learning methods. we present simple online bagging and boosting algorithms that we claim perform as well as their batch counterparts.
Designing-Machine-Learning-Systems-with-Python.pdfDesigning Machine Learning Systems with Python
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非常棒的入门书籍，详细介绍了深度学习的基本概念、适用范围以及在Python下的实现方法。
Deep learning
FRANCOIS CHOLLET
MANNING
SHELTER ISLAND
For online information and ordering of this and other manning books, please visit
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