Knowledge base

I have collected many links to interesting articles and videos. With time it begin to be hard to find the one I'm looking for due to e.g. two browsers and tons of bookmarks. So the idea of this repository is to store them categorized in one place and share with you.

📃 means article, 🎥 - video.

This repository will be updated if I find something interesting, so stay tuned! 🎉

Python

📃 "NumPy Illustrated: The Visual Guide to NumPy"

Machine learning & deep learning

Basics

📃 "A Recipe for Training Neural Networks" by Andrej Karpathy

📃 "An overview of gradient descent optimization algorithms"

🎥 "DeepMind x UCL | Deep Learning Lectures | 2/12 | Neural Networks Foundations" by Wojciech Czarnecki

Neural network from scratch

📃 "Understanding LSTM Networks"

Books

📃 "Deep learning book" Ian Goodfellow and Yoshua Bengio and Aaron Courville

Data Science

Books

📃 “The Visual Display of Quantitative Information” by Edward R. Tufte

Data visualization

📈 "KANTAR Information is Beautiful"

📈 "Flowing data projects"

📈 "r/dataisbeautiful"

📈 "pudding.cool"

Math

📃 Understanding and Applying Benford’s Law

📃 Big-O Cheat Sheet

📃 Understanding the Levenshtein Distance Equation for Beginners

Processes & best practises

📃 "How to Do Code Reviews Like a Human (Part One)"

📃 "How to Make Your Code Reviewer Fall in Love with You "

📃 "Job promotion is a trap"

📃 Logging standards

📃 Date formatting

Frontend

📃 "Can I use"- up-to-date browser support tables for support of front-end web technologies

Projects

"How music evolved: Billboard's Hot 100, 1958-2016"