The roadmap for learning the C++ programming language for beginners and experienced devs.
Solutions of Reinforcement Learning, An Introduction
A curated collection of links for economists
Code / solutions for Mathematics for Machine Learning (MML Book)
Self-study on Larry Wasserman's "All of Statistics"
A guide to Rust's basics distilled for programmers
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.
🍣 Implementations of fundamental algorithms and data structures. Happy Hacktoberfest!
My personal learning roadmap on Computer Science. A.k.a teaching myself Computer Science.
Self study on Cryer and Chan's "Time series analysis with applications in R"
Self study files based on "What every computer science major should know" from matt.might.net
minimal diffusion model for self-study
SQL projects on DataCamp
Learning Go(lang) from many resources in Youtube. (E.G. CMDev, Golang Dojo, The Net Ninja, TechWorld with Nana, freeCodeCamp).
My very own dotfiles ✨
Dyalog APL self-study course
Coursework for self-studying UC Berkeley's CS61A in Spring 2018 (WIP).
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