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2024-12-23
Python Machine Learning 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024
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.
评分不错的ML快速入门+上手的书 有涉及NLP和Flask
评分嘴上说着不要还是勉强翻完了。很失望,大段代码和前后不搭的实例缺少完善的理论框架而且不系统,编写太随意难得要领。不过还是姑且有些有用内容,不算太亏。
评分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.
评分说实话这书没有想象中的好,它的定位是cookbook,对于ML的原理是有些阐述的,但是讲的不深,好多地方就是列出一个公式,让我这种数学渣看起来比较费劲,需要不断的查各种资料,对于400多页的书,也就能写到这种程度了。 还有本书的typo是比较多的。 本书的例子还好,ML的各方面都有涉及,对于入门是合适的。 看完本书我觉得应该读一些理论方面的书,然后可以再速刷一遍,锻炼动手能力。 最后两章还没读完,Deep Learning不好懂啊!
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。
Python Machine Learning 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024