A list of blogs on machine learning and AI
- inFERENCe: Wonderfully thorough posts by Ferenc Huszár on areas in machine learning, specializing in interpreting and understanding papers in deep learning, variational inference, generative modeling, and unsupervised learning.
- The Neural Perspective: A great mix of tutorials, paper reviews, and an aggregation of research papers to read; includes high quality diagrams of network architectures/submodules.
- theberkeleyview: A superb set of paper summaries written and maintained by a set of very informed students at Berkeley.
- Sebastian Ruder's Blog: Great blog posts of overviews of topics (including the popular gradient descent algorithms) by Sebastian Ruder with an NLP focus.
- A Quantitative Journey: Some cool posts about RL and homology in machine learning!