
机器学习实战:基于 Scikit-Learn、Keras 和 TensorFlow
Hands-On Machine Learning with Scikit-Learn and TensorFlow
Aurélien Géron · 初版 2017 年
24人推荐
30位读者提及
37次提及
为什么值得读
- 入门门槛友好,自始至终紧密结合代码实践
- 全面覆盖从数据处理到构建模型的关键流程
- 结合主流工具库,兼顾工程落地与基础概念
xx,543页:24厘米
Hacker News 上怎么说
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我觉得这跟写《基于 Scikit-Learn 和 TensorFlow 的机器学习实战……》的是同一个作者。这本书的质量(目前来看)实在太高了,我立马就去 Google 搜这个作者想了解更多(结果没搜出太多东西),我还以为他肯定特别出名。我没查到……
I think this is the same author that published "Hands-On Machine Learning with Scikit-Learn and TensorFlow...". The quality of the book (thus far) is so high that I immediately started Googling about the author to try and learn more (and did not learn much), assuming he must be well known. I did not learn…
……想要一些 monad 操作(尤其是在 ML pipeline 的场景下),看这个就对了。讨论了如何使用现代并发原语(比如基于 Akka 框架的 actor)来搭建真实的大规模 ML pipeline。# 《基于 Scikit-Learn 和 TensorFlow 的机器学习实战:构建智能系统的概念、工具与技术》https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-T... 还没正式出版,但我一直在读草稿,作为入门非常不错……
…some monading (esp. in the context of ML pipelines), look no further. Discusses setup of actual large scale ML pipelines using modern concurrency primitives such as actors using the Akka framework. # Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques for Building Intelligent Systems https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-T... Not released yet but I've been reading the drafts and it's a nice intro…
虽然不是视频课,但有一本极好的书:奥雷利安·杰龙的《基于 Scikit-Learn 和 TensorFlow 的机器学习实战》。对机器学习给出了通俗友好且高质量的入门指引,从一开始就结合了实战。要是我刚入门时就有这本书就好了。它把所有东西都讲透了,从数据……
Not a video course, but an excellent book: "Hands-On Machine Learning with Scikit-Learn and TensorFlow" by Aurélien Géron. Provides a gentle and high quality introduction to Machine Learning with practice from the very beginning. I wish I had this book when I was starting. It explains everything from data…
……《统计学习基础》是研究生水平的教材。如果是刚入行的新手,我绝对不会向他们推荐这本,而是推荐同一帮作者写的《统计推断导论》。杰龙·奥雷利安写的那本 O'Reilly 绿宝书非常棒——《基于 Scikit-Learn 和 TensorFlow 的机器学习实战》。记得买涵盖了 TensorFlow 2 的第二版。
…Statistical Learning is a grad-level text. I would never recommend that to a beginner to the field over an Introduction to Statistical Inference, by the same authors. Geron Aurelien's Oreilly book is great - Hands-On Machine Learning with Scikit-Learn and TensorFlow. Get the second edition which covers Tensorflow 2.
奥雷利安·杰龙的《基于 Scikit-Learn 和 TensorFlow 的机器学习实战》也相当棒。很希望能在书单里看到它。
Hands-On Machine Learning with Scikit-Learn and TensorFlow by Aurelien Geron is also pretty great. Would like to see that in the list.
如果你对 TensorFlow 感兴趣,我个人觉得在看了 Siraj 的 YouTube 视频入门之后,奥雷利安·杰龙的《基于 SciKit-Learn 和 TensorFlow 的机器学习实战》是最好的进阶读物 https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-T...
If TensorFlow is what you're interested in I personally found "Hands-on Machine Learning with SciKit-Learn and TensorFlow by Aurélien Géron" to be the best introduction after introducing myself to the subject with Siraj's YouTube videos https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-T...