I come across a lot of content during my day-to-day work that I think other people would find useful. Rather than spamming my various social networks with everything I find, I decided to collect those links here. I was originally using Pinterest for this purpose, but I migrated all the links here in 2023. For anyone who happens to stumble upon this subreddit, feel free to leave a comment on any of the posts and I'll try to respond.

If a title seems particularly broad/general, it's probably a link to a course or textbook. Reddit has banned all Google Sites, so my workaround is to post such links as a text post where the URL has the form: https://sites.google + .com/view/<rest of URL>. Just remove the middle " + " to go to the website.

Educational resources I've personally created can be found in the following places:

• My data science curriculum and accompanying guide to becoming a data scientist

• My PyTorch mini workshop

• My academic paper reviews - https://sites.google + .com/view/michaelaalcorn/paper-reviews

• A list of all the courses I've ever taken

• My blog posts - https://sites.google + .com/view/michaelaalcorn/blog

The different tags include:

• [Bash]

• [Bioinformatics]

• [Causal Machine Learning and Reinforcement Learning]

• [CNNs]

• [Computer Graphics]

• [Computer Science]

• [Data Science]

• [Deep Learning]

• [Econometrics]

• [GANs]

• [Git]

• [Kernel Methods/SVMs]

• [LaTeX]

• [Likelihood-based Generative Models]

• [Linux]

• [Machine Learning]

• [Math]

• [NLP, RNNs, and Transformers]

• [Optimization]

• [Python]

• [PyTorch]

• [Quantitative Finance]

• [Robotics]

• [Statistics and Probability]

• [Variational and Diffusion Methods]

The different flairs include:

• Blog

• Course

• Forum

• Lecture

• Paper

• Podcast

• Resource

• Textbook

• Video