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1.『50本机器学习“必读”书籍』《50 Must-Read Books for Machine Learning》
https://medium.com/@bookadvice/50-must-read-books-for-machine-learning-c72d0e911ac3
pdf:
https://pan.baidu.com/s/15JCffi_d7osclztQYA1LLg
By BigQuant
2.【AI/深度学习/机器学习“速成”课程推荐】《How (and Where) to Get a Great Crash Course in AI》
https://blogs.nvidia.com/blog/2017/12/15/where-find-best-courses-learn-ai-deep-learning-machine-learning/
By 爱可可-爱生活
3.【Keras大规模深度学习】《Large-scale deep learning with Keras》by Francois Chollet
https://www.matroid.com/scaledml/2018/francois.pdf
By 爱可可-爱生活
4.【干货】机器学习中的五种回归模型及其优缺点
https://mp.weixin.qq.com/s/ctLe1UbvWqBJ8jh-ppU3rA
By 专知
5.解读实践中最广泛应用的分类模型:朴素贝叶斯算法
https://mp.weixin.qq.com/s/xNZ0x3_o77C1KL1WTdYkfQ
By 机器之心
6.使用PyTorch从零开始构建Elman循环神经网络