Resources (books, tutorials, etc.) A half-hour to learn Rust - blog post, a great intro into the language. It may be enough to start reading the code, but not enough for writing. Easy Rust — a book about rust Many companies and people now learn Rust, and they could learn faster with a book that has easy English. This textbook is for these companies and people to learn Rust with simple English....
Here I will collect links to well-written articles about math and algorithms. Visual Information Theory. Nice post about probabilities, entropy. The whole blog has awesome visualizations. Highly recommended. MNIST For ML Beginners - Nice introduction into machine learning with TensorFlow Brilliantly wrong - blog by Alex Rogozhnikov, with fantastic visualizations of many algorithms and concepts Collection of data science notebooks. Deconvolution and Checkerboard Artifacts by Odena, et al., 2016 - explanation of deconvolution operation in neural networks with awesome interactive visualizations...
Super harsh guide to machine Learning Super harsh guide to machine learning (reddit) First, read fucking Hastie, Tibshirani, and whoever. Chapters 1-4 and 7. If you don’t understand it, keep reading it until you do. You can read the rest of the book if you want. You probably should, but I’ll assume you know all of it. Take Andrew Ng’s Coursera. Do all the exercises in Matlab and python and R....
There must be some kind of rating here. Maybe later… Done The Subtle Art of Not Giving a F*ck: A Counterintuitive Approach to Living a Good Life by Mark Manson. Download at amazon. Read 2022. It seems to me this is a shorter, a bit more rude version of “Seven habits” for millennials. I like the book. I guess it is even too short for me to unpack some of the ideas while I was listening to the audio version....