图书标签: 机器学习 Python MachineLearning 计算机 python 数据分析 ML 数据挖掘
发表于2024-12-27
Python Machine Learning pdf epub mobi txt 电子书 下载 2024
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.
很不错的cookbook
评分不错的ML快速入门+上手的书 有涉及NLP和Flask
评分中文翻译(非官方) https://www.gitbook.com/book/ljalphabeta/python-/details
评分不错的ML快速入门+上手的书 有涉及NLP和Flask
评分最好的一点是书中所用的scikit library是公开的,可以边看边操作。作为一本cookbook,基本没有深究技术理论,对于新手来说十分容易入口。出版于2013年,书中某些code在py2.7里已经不适用(另少量typo),建议cross reference官方manual。
充其量不过是几个常用python ML包(scikit NumPy SciPy matplotlib pandas)的 cookbook 罢了。 基本上每节的流程就是先告诉你一个ML概念大概是怎么回事,真的很大概,不过好处是至少会告诉你为什么要这么做。然后用一段示例代码告诉你这个东西在Python ML包里要调用哪几个接口...
评分充其量不过是几个常用python ML包(scikit NumPy SciPy matplotlib pandas)的 cookbook 罢了。 基本上每节的流程就是先告诉你一个ML概念大概是怎么回事,真的很大概,不过好处是至少会告诉你为什么要这么做。然后用一段示例代码告诉你这个东西在Python ML包里要调用哪几个接口...
评分中文翻译(非官方) https://www.gitbook.com/book/ljalphabeta/python-/details ==========================================================================================================================================================
评分中文翻译(非官方) https://www.gitbook.com/book/ljalphabeta/python-/details ==========================================================================================================================================================
评分中文翻译(非官方) https://www.gitbook.com/book/ljalphabeta/python-/details ==========================================================================================================================================================
Python Machine Learning pdf epub mobi txt 电子书 下载 2024