Free PDF | Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

Free PDF | Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

Please Share Us

点击此处查看 ✿水哥原创ANSYS视频教程清单 ✿

水哥专属答疑服务已开通,点此此处查看详情

【Book Description】

Free PDF | Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.

By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and Tensor Flow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started.

  • Explore the machine learning landscape, particularly neural nets
  • Use Scikit-Learn to track an example machine-learning project end-to-end
  • Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods
  • Use the Tensor Flow library to build and train neural nets
  • Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning
  • Learn techniques for training and scaling deep neural nets.

【Book Preview】

Free PDF Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Concepts, Tools, and Techniques to Build Intelligent Systems2

【Book Download】

Click Here to Download this PDF

For more free e-book downloads, please visit our official download website Pdfdownload.top

欢迎扫描如下二维码关注本站微信公众号:ANSYS结构院

有时间麻烦帮忙点击下公众号文末的广告哦, 权当码字的辛苦费,感谢大家!

Please Share Us
© 版权声明
THE END
喜欢就支持一下吧
点赞2赞赏 分享
评论 抢沙发
头像
欢迎您留下宝贵的见解!
提交
头像

昵称

取消
昵称表情代码

    暂无评论内容

YOU MAY LIKE…