(ML)isduetothefactthatitrevolutionizesautomationbylearningpatternsindataandusingthemtomakepredictionsanddecisions.Ifyou’reinterestedinML,thisbookwillserveasyourentrypointtoML.PythonMachineLearningByExamplebeginswithanintroductiontoimportantMLconceptsandimplementationsusingPythonlibraries.Eachchapterofthebookwalksyouthrough...
The surge in interest in machine learning (ML) is due to the fact that it revolutionizes automation by learning patterns in data and using them to make predictions and decisions. If you’re interested in ML, this book will serve as your entry point to ML.Python Machine Learning By Example...
Thisbookisforanyoneinterestedinenteringthedatasciencestreamwithmachinelearning.BasicfamiliaritywithPythonisassumed. 品牌:中图公司 上架时间:2017-05-31 出版社:Packt Publishing 本书数字版权由中图公司提供,并由其授权上海阅文信息技术有限公司制作发行 最新...
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This book is a deep dive into the exciting world of machine learning. What's unique about this book is the clarity with which it explains concepts from first principles and teaches by example in a way that is accessible to a wide audience. You will learn how to implement key algorithms fr...
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Stacking takes the outputs of machine learning estimators and then uses those as inputs for another algorithm. You can, of course, feed the output of the higher-level algorithm to another predictor. It is possible to use any arbitrary topology, but for practical reasons you should try a ...
With this book, you will learn how to perform various machine learning tasks in different environments. We’ll start by exploring a range of real-life scenarios where machine learning can be used, and look at various building blocks. Throughout the book, you’ll use a wide variety of ...
It is a modern treatment of this classical theory, which emphasizes the connections with other mathematical subjects -- for example, random walks and electrical networks. I found some messages conveyed by this book is enlightening for my research on machine learning methods. Probability Theory: A ...
请参见以下截图了解最终结果: 关于作者:Ivan Idris,曾是Java和数据库应用开发者,后专注于Python和数据分析领域,致力于编写干净、可测试的代码。他还是《Python Machine Learning By Example》《NumPy Cookbook》等书的作者,在工程实践和书籍撰写方面都非常有经验。