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本次为大家推荐的是一本机器学习神书英文原版《Hands-On Machine Learning with Scikit-Learn and TensorFlow》。
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. The updated edition of this best-selling book uses concrete examples, minimal theory, and production-ready Python frameworks to help you gain an intuitive understanding of the concepts and tools for building intelligent systems.
You’ll learn a range of techniques that you can quickly put to use. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started. All code has been updated to TensorFlow 2 and the latest versions of Scikit-Learn and other libraries.
- Explore the Keras API, the official high-level API for TensorFlow 2
- Productionize TensorFlow models using TensorFlow’s Data API, distribution strategies API, and the TensorFlow Extended platform (TFX)
- Deploy on Google Cloud ML Engine or on mobile devices using TFLite
- Learn new and expanded topics including clustering, anomaly detection, object detection, semantic segmentation, attention mechanisms, language models, GANs, and more
关注公众号，回复"hands-on"即可得到其PDF下载链接。
拓展阅读：
深入理解遗传算法(一)
深入理解遗传算法(二)
从1到100求和学算法思维（一）
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精品慕课资源推荐 计算机网络
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