▍1. Python基础教程(第3版)
说明: python基础编程(第三版),学习python的很好电子书籍(Python basic programming (third edition), a good e-book for learning python)
说明: python基础编程(第三版),学习python的很好电子书籍(Python basic programming (third edition), a good e-book for learning python)
Python算法学习入门资料,中文版,学习Python的入门经典(Python algorithm learning materials)
说明: Python算法学习入门资料,中文版,学习Python的入门经典(Python algorithm learning materials)
通过Python,Theano和Tensorflow,掌握数据科学和机器学习(Master Data Science and Machine Learning with Modern Neural Networks written in Python, Theano, and TensorFlow)
说明: 通过Python,Theano和Tensorflow,掌握数据科学和机器学习(Master Data Science and Machine Learning with Modern Neural Networks written in Python, Theano, and TensorFlow)
革新计算机技术、人工智能、语音和数据分析的下一代技术(Next generation techniques to revolutionize computer vision, AI, speech and data analysis)
说明: 革新计算机技术、人工智能、语音和数据分析的下一代技术(Next generation techniques to revolutionize computer vision, AI, speech and data analysis)
Python高性能编程,本书适合初级和中级Python程序员、有一定Python语言基础想要得到进阶和提高的读者阅读。(Python High Performance Programming)
说明: Python高性能编程,本书适合初级和中级Python程序员、有一定Python语言基础想要得到进阶和提高的读者阅读。(Python High Performance Programming)
Deep Learning With Python_中文版 --本书由Keras之父、现任Google人工智能研究员的弗朗索瓦?肖莱(Franc?ois Chollet)执笔,详尽介绍了用Python和Keras进行深度学习的探索实践,包括计算机视觉、自然语言处理、产生式模型等应用。书中包含30多个代码示例,步骤讲解详细透彻。(Chinese Version - This book is written by Franc OIS Chollet, the father of Keras and current researcher of Google Artificial Intelligence. It introduces in detail the exploratory practice of in-depth learning with Python and Keras, including computer vision, natural language processing, production model and other applications. The book contains more than 30 code examples with detailed steps.)
说明: Deep Learning With Python_中文版 --本书由Keras之父、现任Google人工智能研究员的弗朗索瓦?肖莱(Franc?ois Chollet)执笔,详尽介绍了用Python和Keras进行深度学习的探索实践,包括计算机视觉、自然语言处理、产生式模型等应用。书中包含30多个代码示例,步骤讲解详细透彻。(Chinese Version - This book is written by Franc OIS Chollet, the father of Keras and current researcher of Google Artificial Intelligence. It introduces in detail the exploratory practice of in-depth learning with Python and Keras, including computer vision, natural language processing, production model and other applications. The book contains more than 30 code examples with detailed steps.)
基于python的模块matplotlib画各种机器学习结果的图(matplotlib for the plot of machine learning)
说明: 基于python的模块matplotlib画各种机器学习结果的图(matplotlib for the plot of machine learning)
通过若干由python完成的算法实例学习算法和python(learn algorithm and python by examples)
python学习手册,可供机器学习的同学学习,讲的还是比较好。(Python learning manuals, for machine learning students to learn, speak better.)
python算法资料,提供了不少关于python的算法,值得一看。(Python algorithm data, provide a lot of Python algorithm, it is worth seeing.)
Python学习电子书经典之作,课余学习之用(Python Learning the classic books of e-books and the use of after-school learning)
PDF为文字版,可以复制,一共983页。本书给出了各种机器学习和数据挖掘方法在python中的应用实例,相当详细。京东200多。(Machine learning is becoming increasingly pervasive in the modern data-driven world. It is used extensively across many fields, such as search engines, robotics, self-driving cars, and so on. In this course, you will explore various real-life applications. where you can use what algorithms you should use in a given context using this exciting recipe-based guide.)
作者: David M. Beazley / Brian K. Jones 出版社: 人民邮电出版社 原作名: Python Cookbook 3rd Edtioni 译者: 陈舸 出版年: 2015-5-1 页数: 684 定价: 108.00元 装帧: 平装 ISBN: 9787115379597 《Python Cookbook(第3版)中文版》介绍了Python应用在各个领域中的一些使用技巧和方法,其主题涵盖了数据结构和算法,字符串和文本,数字、日期和时间,迭代器和生成器,文件和I/O,数据编码与处理,函数,类与对象,元编程,模块和包,网络和Web编程,并发,实用脚本和系统管理,测试、调试以及异常,C语言扩展等。(The Python Cookbook (Version 3) Chinese version introduces some tips and methods for using Python in various fields, covering topics such as data structures and algorithms, strings and text, numbers, dates and times, iterators, and builds File and I / O; Data Encoding and Processing; Functions; Classes and Objects; Meta-programming; Modules and Packages; Web and Web Programming; Concurrency; Utility Scripting and Systems Management; Testing; Debugging; Anomalies;)
经典入门教程,快速入手,纯英文版,满足python 开发人员需求(Classic introductory tutorial)