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! 🎉
📃 "NumPy Illustrated: The Visual Guide to NumPy"
📃 "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
📃 "Understanding LSTM Networks"
📃 "Deep learning book" Ian Goodfellow and Yoshua Bengio and Aaron Courville
📃 “The Visual Display of Quantitative Information” by Edward R. Tufte
📈 "KANTAR Information is Beautiful"
📃 Understanding and Applying Benford’s Law
📃 Understanding the Levenshtein Distance Equation for Beginners
📃 "How to Do Code Reviews Like a Human (Part One)"
📃 "How to Make Your Code Reviewer Fall in Love with You "
📃 "Can I use"- up-to-date browser support tables for support of front-end web technologies