Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (3/e)豆瓣评分:0.0 简介:Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about th
喜欢读"Hands-On Machine Learning with Scikit-Learn and TensorFlow"的人也喜欢的电子书 ··· 支持Web、iPhone、iPad、Android 阅读器 有限与无限的游戏 18.00元 MacTalk·人生元编程 2.99元 技术元素 12.00元 淘宝技术这十年 4.99元 编程之美 22.00元 喜欢读"Hands-On Machine Learning with Scikit...
Hands-On Machine看看豆瓣的评分就知道了。下面是附录B,也就是全书的精华所在,是一个项目从头到尾需要注意的地方,面试的各种问题都可以在这个框架下补充。 Machine Learning Project Checklist 1. Frame the problem and look at the big picture. 2. Get the data. 3. Explore the data to gain insights. 4....
时隔一年,这本超赞的机器学习实用指南终于正式出版了第二版:《Hands-On Machine Learning with Scikit-Learn,Keras, and TensorFlow, 2nd Edition》,中文译为《Scikit-Learn、Keras 与 TensorFlow 机器学习实用指南(第二版)》,并且在美国亚马逊上开售了,可惜国内还没有开售,影印版和中文翻译版还没出来。请看封面: ...
Hands-On Machine Learning with scikit:learn and Scientific Python Toolkits是Tarek Amr创作的计算机网络类小说,QQ阅读提供Hands-On Machine Learning with scikit:learn and Scientific Python Toolkits部分章节免费在线阅读,此外还提供Hands-On Machine Learning wit
Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition的书评 ···(全部 13 条) 热门只看本版本的评论 子珂2017-12-20 20:42:29O'Reilly Media2017版 挺好的,任何人看了都能学到不少东西 挺不错的,推荐做ML的同学都拿来看看,一定能学到不少东西,尤其是接触没多久的 不足...
Wehavemadehugeprogressinteachingcomputerstoperformdifficulttasks,especiallythosethatarerepetitiveandtime-consumingforhumans.Excelusers,ofalllevels,canfeelleftbehindbythisinnovationwave.ThetruthisthatalargeamountoftheworkneededtodevelopanduseamachinelearningmodelcanbedoneinExcel.Thebookstartsbygivingageneralintroduction...
Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today’s most popular machine learning methods. This book serves as a practitioner’s guide to the machine learning process and is meant to help the reader learn to apply the mach...
Implement supervised and unsupervised machine learning algorithms using C++ libraries such as PyTorch C++ API, Caffe2, Shogun, Shark-ML, mlpack, and dlib with the help of real-world examples and datasets Key … - Selection from Hands-On Machine Learning
Buy on Amazon Startyourfree trial Book description 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...