Machine Learning Blogs and Resources
It is a necessity that anyone should follow some podcasts and blogs for his/her field. ML is not an exception. This is the stuff I find useful, and I try to read or watch them every now and then. ML People (Blogs) Andrej Karpathy Andrej Karpathy - Andrej Karpathy blog Yann LeCun Yann LeCun’s Home Page Andrew Ng https://www.andrewng.org Chris Olah Home - colah’s blog Alfredo Canziani atcold.github.io Cassie Kozyrkov Demis Hassabis Geoffrey Hinton Yoshua Bengio Kate Crawford - Atlas of AI Lex Fridman Soumith Chintala Yoshua Bengio - ruder.io ++ Rachel Thomas, PhD - an AI researcher going back to school for immunology Julia Evans Stephen Merity Cate Huston Slav Ivanov Julia Ferraioli Lil’Log Matt Might’s blog State of the Smerity François Chollet | Substack Denny’s Blog Strange Loop Canon | Rohit Krishnan | Substack ML Sites Distill — Latest articles about machine learning The latest in Machine Learning | Papers With Code fast.ai - fast.ai—Making neural nets uncool again Home - Papers The AiEdge Newsletter | Substack Comprehensive ML Tutorials Harvard CS197: AI Research Experiences ML Story Deep Learning Book PyTorch Deep Learning - atcold: Deep Learning course by Yan Lecun Dive into Deep Learning UvA Deep Learning Tutorials Data Science at the Command Line Mathematics for Machine Learning CS231n Convolutional Neural Networks for Visual Recognition Unsupervised Feature Learning and Deep Learning Tutorial Neural networks and deep learning GitHub - jlevy/the-art-of-command-line: Master the command line, in one page BE/Bi 103 a: Introduction to Data Analysis in the Biological Sciences — BE/Bi 103 a documentation Machine Learning Crash Course by Google MLOps and ML System Design Made With ML CS 329S: Machine Learning Systems Design GitHub - EthicalML/awesome-production-machine-learning: A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning GitHub - featurestoreorg/serverless-ml-course: Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features Python Great Tutorials Code. Simply. Clearly. Calmly. Probability Probability, Statistics & Random Processes | Free Textbook | Course Five Minute Stats Welcome to STAT 415! | STAT 415 https://web.stanford.edu/~lmackey/stats300a/ https://vioshyvo.github.io/Bayesian_inference/index.html https://stephens999.github.io/fiveMinuteStats/MH_intro.html Good Books No Bullshit Guide to Math No Bullshit Guide to Linear Algebra Great ML Books In my opinion, these books are the best books to get a professional in ML field. ...