It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced research…

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP

统计学习方法习题解答，在线阅读地址：https://datawhalechina.github.io/statistical-learning-method-solutions-manual

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记，此外，还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的，其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。

深度学习面试问题 回答对应的DeepLearning中文版页码

VIP cheatsheets for Stanford's CS 230 Deep Learning

VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers

VIP cheatsheets for Stanford's CS 221 Artificial Intelligence

VIP cheatsheets for Stanford's CS 229 Machine Learning

common data analysis and machine learning tasks using python

Classical equations and diagrams in machine learning

Paper Lists for Graph Neural Networks

Must-read papers on graph neural networks (GNN)

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

Book_3_《数学要素》 | 鸢尾花书：从加减乘除到机器学习；上架；欢迎继续纠错，纠错多的同学还会有赠书！

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Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)