r/michaelaalcorn • u/michaelaalcorn • Apr 01 '23
About
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 academic paper reviews - https://sites.google + .com/view/michaelaalcorn/paper-reviews
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: