If I had to give one reason for writing this blog, it would be to end up in a list like the one I intend to compile below. Like I’ve already mentioned here, I’m astonished and amazed at the amount of great resources one can access online for free. It helped me tremendously during my studies (and still does when I need to understand a new topic) and really gives everyone the possibility to learn almost anything. There are, of course, different shades of awesomeness.
While there is a mind boggling amount of great stuff out there, it is hidden by an even greater amount of, to put it euphemistically, less than inspiring content. This is why I decided to share whatever great resources I’ve encountered during my time on the Internet in the hope to help or inspire one or another of you. I’ll try to come up with an intuitive way of grouping similar things together. Let’s see how that goes. For now I’ll group by content instead of, e.g., by source or medium and I’ll keep adding stuff till I die or lose interest.
If you know of anything awesome that’s not yet in the list please comment!
- Kurzgesagt – In a Nutshell - Videos explaining things with optimistic nihilism.
- 3Blue1Brown - Some combination of math and entertainment, depending on your disposition.
- Ben Eater - Tutorial-style videos about electronics, computer architecture, networking, and various other technical subjects.
- minutephysics - Simply put: cool physics and other sweet science.
- Domain of Science - Aiming for the clearest explanations of science and mathematics.
- Two Minute Papers - Awesome research for everyone.
- Seeing Theory - A visual introduction to probability and statistics.
- Slate Star Codex - A blog about science, medicine, philosophy, politics, and futurism.
- Khan Academy - Free, world‑class education for anyone, anywhere.
- from Data to Viz - Decision tree that leads you to the most appropriate graph for your data.
- Arxiv-Sanity - Arxive in better: Search and find research relevant to you.
Machine Learning, Data Science & AI
- Distill - Machine Learning Research Should Be Clear, Dynamic and Vivid. Distill Is Here to Help.
- Brandon Rohrer - Mainly machine learning videos.
- R2D3 - An experiment in expressing statistical thinking with interactive design.
- colah’s blog - I want to understand things clearly, and explain them well.
- Quora: The Kernel Trick - The ONLY explanation of the kernel trick that finally made it click.
- Sebastian Ruder - Blog about machine learning, deep learning, and natural language processing.
- Ben Frederickson - Blog on programming topics
- Neural Network Playground - Tinker With a Neural Network Right Here in Your Browser.
- fast.ai - Making deep learning easier to use.
- OpenAI: Spinning Up as a Deep Reinforcement Learning Researcher
- losslandscapes - _Very neat visualizations of neural network loss landscapes.
- 80,000 hours - Providing research and support to help people switch into careers that effectively tackle the world’s most pressing problems.
- Less Wrong - We work to develop and practice the art of human rationality.
- Change My View - A place to post an opinion you accept may be flawed, in an effort to understand other perspectives on the issue.
- Wikipedia: List of common misconceptions
- Spurious Correlations - A fun way to look at correlations and to think about data
- Detexify - LaTeX handwritten symbol recognition.
Privacy & Security
- Tristan Harris - The closest thing Silicon Valley has to a consciousness.
- Restore Privacy - Your online privacy and security resource center.
- Simone Giertz - Maker/robotics enthusiast/non-engineer.
- Phil Vandelay - Maker. I like to build cargo bikes, furniture, and more.
- Primitive Technology - A hobby where you build things in the wild completely from scratch using no modern tools or materials.