This practical guide provides more than 200 self-contained recipes to help you solve machine learning challenges you may encounter in your work. If you're comfortable with Python and its libraries, including pandas and scikit-learn, you'll be able to address specific problems, from loading data...
UserOrderProductPaymentBankplacescontainsmakesprocesses 在整个过程中,我们看到如何从配置、集成到实战应用,系统地运用Python进行机器学习,同时优化性能和扩展生态。这无疑是对我在“Machine Learning with Python Cookbook中文版”中所学知识的良好巩固。
NumPy is the foundation of the Python machine learning stack. NumPy allows for efficient operations on the data structures often used in machine learning: vectors, matrices, and tensors. While NumPy is not the focus of this book, it will show up frequently throughout the following chapters. Th...
【预订】Machine Learning with Python Cookbook: Practical Solutions ... 9781491989388 美国库房发货,通常付款后3-5周到货! 作者:Albon, Chris出版社:O’Reilly Media出版时间:2018年04月 手机专享价 ¥ 当当价 降价通知 ¥1013 配送至 北京 至 北京市东城区 服务 由“中国进口图书旗舰店”发货,并提供...
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Machine Learning with Python Cookbook 2025 pdf epub mobi 电子书 著者简介 Chris Albon is data scientist with a Ph.D. in quantitative political science and a decade of experience working in statistical learning, artificial intelligence, and software engineering. He founded New Knowledge, an artificial...
Machine Learningwith Python Cookbook: Practical Solutions from Preprocessing to DeepLearning Authors: Chris Albon ISBN-10: 1491989386 ISBN-13: 9781491989388 Edition 版本: 1 Released: 2018-04-01 Print Length 页数: 366 pages Book Description ...
丛书名:Machine Learning with 出版社:1 出版时间:2023-07-05 更新时间:2025-04-16 07:56:14 Machine Learning with Python Cookbook电子书下载地址: 文件名 [PDF] Machine Learning with Python Cookbook [epub] Machine Learning with Python Cookbook [TXT] Machine Learning with Python Cookbook [mobi...
Do you want to gain a deeper understanding of your models and better mitigate poor prediction risks associated with machine learning interpretation? If so, then Interpretable Machine Learning with Python deserves a place on your bookshelf. We’ll be starting off with the fundamentals of interpretabil...
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