7．新书草稿：机器学习数学基础《Mathematics for Machine Learning》by Marc Peter Deisenroth，A Aldo Faisal, and Cheng Soon Ong (Cambridge 2018) GitHub地址:https://mml-book.github.io/

8．(R语言)统计与数据科学导论《An Introduction to Statistical and Data Sciences via R》by Chester Ismay and Albert Y. Kim (2017)

9．免费书：用实用方法讲授Python基础知识《Getting up to speed with Python: a book for self-learners》 by João Ventura GitHub地址:https://github.com/joaoventura/full-speed-python

10．《scikit-learn(sklearn) 官方文档中文版》

http://sklearn.apachecn.org/

11．新书草稿：机器学习数学基础《Mathematics for Machine Learning》by Marc Peter Deisenroth, A Aldo Faisal, and Cheng Soon Ong (Cambridge 2018)

12．新书：Python机器学习方案手册《Machine Learning with Python Cookbook 》by Chris Albon (O'Reilly 2018)

https://www.safaribooksonline.com/library/view/machine-learning-with/9781491989371/

http://shop.oreilly.com/product/0636920085423.do

13．免费书：R语言机器学习导论《An Introduction to Machine Learning with R 》by Laurent Gatto (2017)

14．书稿：特征工程与特征选择——实用预测模型方法《Feature Engineering and Selection: A Practical Approach for Predictive Models》by Max Kuhn, Kjell Johnson

15．深度学习教材——麻省理工学院出版社（2016）

二．学习代码看这里

1．深度学习框架PyTorch：入门与实践书中代码：by Yun Chen.GitHub地址:https://github.com/chenyuntc/PyTorch-book

2．《R语言深度学习》随书代码《R Markdown Notebooks for "Deep Learning with R"》 GitHub地址:

https://github.com/jjallaire/deep-learning-with-r-notebooks

3．21个项目玩转深度学习——基于 TensorFlow的实践详解配套代码 by Zhi yuan He GitHub地址:

https://github.com/hzy46/Deep-Learning-21-Examples

4．数据科学家Python手册：Python基础 /数据结构/流程与函数/NumPy/Pandas《Python for Data Scientists》by Stephen Rimac GitHub:

5．160+道算法与数据结构练习题(C++) 《160+ Algorithm & Data Structure Problems using C++》by Ravi Mandliya GitHub地址:

https://github.com/mandliya/algorithms_and_data_structures

三、数据集集合随意用

1．深度学习探险：最新深度学习文献、框架和资源集合：《Adventures in deep learning-State-of-the-art Deep Learning publications, frameworks & resources》by Grigorios Kalliatakis GitHub地址:

https://github.com/GKalliatakis/Adventures-in-deep-learning

2．中文文本项目：一个在线开放式数字图书馆，为全世界的读者和研究人员提供前现代化的中文文本。“中国文字计划”拥有三万多个标题，五十多亿字，是现存中国文字的最大数据库《Chinese Text Project》

3．医疗领域机器学习数据集列表《Medical Data for Machine Learning》by Andrew L. Beam GitHub地址:

https://github.com/beamandrew/medical-data

4．(又一个)自然语言处理(NLP)数据集列表《nlp-datasets - Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)》by Nicolas Iderhoff GitHub地址:

https://github.com/niderhoff/nlp-datasets

5. 自然语言SQL生成数据集(自然语言&SQL查询问题对)《text2sql-data - A collection of datasets that pair questions with SQL queries.》 by Jonathan Kummerfeld GitHub地址:

https://github.com/jkkummerfeld/text2sql-data

6．股价与推特数据集《stocknet-dataset - A comprehensive dataset for stock movement prediction from tweets and historical stock prices.》by Yumo Xu GitHub地址:

https://github.com/yumoxu/stocknet-dataset

7.数据集大全：25个深度学习的开放数据集