Solutions of Reinforcement Learning, An Introduction

The roadmap for learning the C++ programming language for beginners and experienced devs.

Self-study on Larry Wasserman's "All of Statistics"

A curated collection of links for economists

Code / solutions for Mathematics for Machine Learning (MML Book)

🍣 Implementations of fundamental algorithms and data structures. Happy Hacktoberfest!

A guide to Rust's basics distilled for programmers

Learning Swift from [100 Days of Swift]

C++ course using all tools to deliver quality code

Self study on Cryer and Chan's "Time series analysis with applications in R"

A set of introductory exercises for Julia. Based on [100 NumPy Exercises](https://github.com/rougier/numpy-100).

Propositions of solutions to the exercises from Terence Tao's textbooks, Analysis I & II. Mirrored from https://gitlab.com/f-santos/taoanalysissolutions

This is the repository containing self-study notes for modern C++ to better prepare myself for workplace once graduate.

My personal learning roadmap on Computer Science. A.k.a teaching myself Computer Science.

Dyalog APL self-study course

PostgreSQL High availability configuration by Streaming Replication and pgpool-II with watchdog.

Blog template powered by jekyll to share the interesting stories in life （基于Jekyll的模板引擎的维基风格的个人博客，记录分享生活中的新鲜故事）

A super math collection of resources to study as painlessly as possible

Coursework for self-studying UC Berkeley's CS61A in Spring 2018 (WIP).

minimal diffusion model for self-study