Python
Python 知识点梳理 ...
CS
Algorithms II
This is a review of the Princeton University Algorithms, Part II course offered on Coursera. For the first part of the course, see Algorithms I. My solutions to the programming assignments are available on GitHub. ...
CS Tools
本文档介绍 CS 领域常用工具，核心内容参考自 MIT 课程 The Missing Semester of Your CS Education。 相关阅读与扩展链接： 常用软件: Notion 个人主页。 Setup: 自用工具及配置。 Git 101: 常见的 Git 命令。 Regular Expression: 常见的正则表达式用法。 Linux: Linux 基本知识与操作指南。 ...
Mobile Robots
CSE 490R Course Review My solution to the homework Introduction to Mobile Robotics and Probabilistic Robotics are good references ...
Deep Reinforcement Learning (Part 3)
Berkeley CS 285 Review My solution to the homework Deep Reinforcement Learning (Part 1) Deep Reinforcement Learning (Part 2) ...
Deep Reinforcement Learning (Part 2)
Berkeley CS 285 Review My solution to the homework Deep Reinforcement Learning (Part 1) Deep Reinforcement Learning (Part 3) ...
Deep Reinforcement Learning (Part 1)
Berkeley CS 285 Review My solution to the homework Deep Reinforcement Learning (Part 2) Deep Reinforcement Learning (Part 3) ...
Matrix Derivatives
Notes on doing derivatives w.r.t. matrix/vector. Based on matrix vector derivatives for machine learning.pdf Another good resource is matrixcookbook.pdf ...
Machine Learning
Machine Learning notes. Coursera Andrew Ng Machine Learning. My solution Stanford CS231n Convolutional Neural Networks for Visual Recognition. My solution ...
Machine Learning for Big Data
CSE547: Machine Learning for Big Data Review ...