Python Machine Learning

书名：Python Machine Learning
作者：SebastianRaschka
译者：
ISBN：9781783555130
出版社：PacktPublishing-ebooksAccount
出版时间：2015-9
格式：epub/mobi/azw3/pdf
页数：454
豆瓣评分： 8.5

书籍简介：

About This Book Leverage Python' s most powerful open-source libraries for deep learning, data wrangling, and data visualization Learn effective strategies and best practices to improve and optimize machine learning systems and algorithms Ask – and answer – tough questions of your data with robust statistical models, built for a range of datasets Who This Book Is For If you want to find out how to use Python to start answering critical questions of your data, pick up Python Machine Learning – whether you want to get started from scratch or want to extend your data science knowledge, this is an essential and unmissable resource. What You Will Learn Explore how to use different machine learning models to ask different questions of your data Learn how to build neural networks using Keras and Theano Find out how to write clean and elegant Python code that will optimize the strength of your algorithms Discover how to embed your machine learning model in a web application for increased accessibility Predict continuous target outcomes using regression analysis Uncover hidden patterns and structures in data with clustering Organize data using effective pre-processing techniques Get to grips with sentiment analysis to delve deeper into textual and social media data Style and approach Python Machine Learning connects the fundamental theoretical principles behind machine learning to their practical application in a way that focuses you on asking and answering the right questions. It walks you through the key elements of Python and its powerful machine learning libraries, while demonstrating how to get to grips with a range of statistical models.

作者简介：

书友短评：

@ yetingsky I am reading this book, and i think it will be worth the effort// Now i finished reading it. It is a great book despite some lack of math deduction, which complement the size of the book. It opens a door to python machine learning and it will never close i think. @ 霍尔顿 专门参考第九章最后一小节：Deploying the web application to a public server @ 流年闲草 工程化相关章节蛮不错的，推荐～ @ leechau 专门参考第九章最后一小节：Deploying the web application to a public server @ Autoz 错误很多，直接上GitHub上找到勘误和代码，改正后很舒畅，非常入门和实用 @ 超能吃 看得真累啊 但是觉得一本书能把事情说得这么清楚很难得了 @ VG.SUIBIANDA 还行吧，入门看看够了

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