Python Machine Learning 在线电子书 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2025-02-18
Python Machine Learning 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025
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。
评分实用性上还是不错的
评分按照上面的做 可以学到很多python2和python3的不兼容点 这个是最后使用pyTorch的 不是tensorflow 按照自己的需求下
评分看得真累啊 但是觉得一本书能把事情说得这么清楚很难得了
评分不错的ML快速入门+上手的书 有涉及NLP和Flask
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.
中文翻译(非官方) https://www.gitbook.com/book/ljalphabeta/python-/details ==========================================================================================================================================================
评分但是是有前提的: 1. 基础的线性代数知识需要大家温故知新一下; 2. 对于python中的numpy和pandas的一些基本操作需要熟悉; 3. 抽象能力,最好能把代数方程在大脑里映射出一个几何图形(最多三维); 只要有了以上的前提,读这本书还是挺靠谱的。
评分但是是有前提的: 1. 基础的线性代数知识需要大家温故知新一下; 2. 对于python中的numpy和pandas的一些基本操作需要熟悉; 3. 抽象能力,最好能把代数方程在大脑里映射出一个几何图形(最多三维); 只要有了以上的前提,读这本书还是挺靠谱的。
评分中文翻译(非官方) https://www.gitbook.com/book/ljalphabeta/python-/details ==========================================================================================================================================================
评分但是是有前提的: 1. 基础的线性代数知识需要大家温故知新一下; 2. 对于python中的numpy和pandas的一些基本操作需要熟悉; 3. 抽象能力,最好能把代数方程在大脑里映射出一个几何图形(最多三维); 只要有了以上的前提,读这本书还是挺靠谱的。
Python Machine Learning 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025