silviafeiwang / myLibrary

A collection of learning resources

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My Weapon

A collection of resources for me to learn about the amazing world!

Table of Contents


Machine Learning

Reinforcement Learning

Deep Learning

  • πŸ“ Stanford AI Courses Cheatsheets: Easy-to-digest cheatsheets highlighting the important points of each class - CS221 AI, CS229 ML, CS230 DL.
  • fast.ai Practical Deep Learning for Coders Course 🌐 [website] :octocat: [code]
  • πŸ“‚ πŸŽ₯ Deep Learning
    • Neural Network and Deep Learning
    • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
    • Structuring Machine Learning Projects
    • Convolutional Neural Networks
    • Sequence Models

Computer Networks

System Design

  • πŸ“‚ 🌐 Grokking the System Design Interview by Educative.io: One of the best courses for preparing for system design questions. Go get 6 free months of 60+ Educative courses covering in-demand topics such as Machine Learning, Web Development, Python, etc., by connecting to your GitHub student account.

Programming

Algorithms

Python

  • 🌐 Real Python: Learn all things Python from the ground up. Everything from the absolute basics of Python, to web development and web scraping, to data visualization, and beyond.
  • Python 3 Module of the Week: A series of blog posts written by Doug Hellmann. It was started as a way to build the habit of writing something on a regular basis. The focus of the series is building a set of example code for the modules in the Python standard library. 🌐 [blogs] :octocat: [code]
  • πŸ“‚ Awesome Python: A curated list of awesome Python frameworks, libraries, software and resources. The following are what I find very handy:
    • πŸ”§ :octocat: howdoi: command line tool
  • Create a Custom Gym Environment in Python: When we want to use Reinforcement Learning to solve our problems, we need to be able to create our own environment that behaves as we want it to. Here is an example.

Latex

Academic English

Research Skills

Math for CS

Operating System

Linux

Mac

  • :octocat: Awesome Mac: A collection of premium software in various categories on Mac.

Misc


Note:

  • books πŸ“–
  • cheatsheets πŸ“
  • papers πŸ“„
  • collection/specialization πŸ“‚
  • conferences/talks πŸ’¬
  • online video courses πŸŽ₯
  • online learning: 🌐
  • libararies/frameworks/software/tools πŸ”§
  • GitHub repos :octocat:

About

A collection of learning resources

License:MIT License