Thoughtful Machine Learning with Python (True PDF)

相似文件 换一批

是 否 +2 论坛币

k人 参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群

赵安豆老师微信：zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

立即领取

感谢您参与论坛问题回答

经管之家送您两个论坛币！

+2 论坛币

English | January 27th, 2017 | ISBN: 1491924136 | 216 pages | True PDF | 8.40 MB
Gain the                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   confidence you need to apply machine learning in your daily work. With this practical guide, author Matthew Kirk shows you how to integrate and test machine learning algorithms in your code, without the academic subtext.

Featuring graphs and highlighted code examples throughout, the book features tests with Python’s Numpy, Pandas, Scikit-Learn, and SciPy data science libraries.

If you’re a software engineer or business analyst interested in data science, this book will help you:
• Reference real-world examples to test each algorithm through engaging, hands-on exercises
• Apply test-driven development (TDD) to write and run tests before you start coding
• Explore techniques for improving your machine-learning models with data extraction and feature development
• Watch out for the risks of machine learning, such as underfitting or overfitting data
• Work with K-Nearest Neighbors, neural networks, clustering, and other algorithms

本帖隐藏的内容

Thoughtful Machine Learning with Python - A Test-Driven Approach py2.pdf (8.4 MB, 需要: 10 个论坛币)

2017-8-31 14:24:18 上传

需要: 10 个论坛币  [购买]

扫码加我 拉你入群

请注明：姓名-公司-职位

以便审核进群资格，未注明则拒绝

分享0 收藏8 回帖

关键词：Learning machine earning Thought python

谢谢分享！

Exploring Mathematics gives students

谢谢你的书！

回复看看

谢谢分享

Thanks for sharing!