ML is cool. Here's a Github repo with a bunch of detailed paper notes, reviews, and summaries.

Most of these were read and reviewed with Paper Club, a group of 5-6 intrepid learners that I started with my friends James Vanneman and Tiger Shen in April 2017 after we had finished all the courses at the Bradfield School of Computer Science. Here's what we've covered so far:
Here are some details about the materials I found most helpful.
Updated: August 4th, 2018

Sources, notes:

Key: ✍️ is a blog post, 📘 is a flashcard, no emoji means notes & highlights.
✍️ How I learned web development, software engineering, & ML August 4th, 2018
✍️ Learning to be a power user of operating systems July 26th, 2018
High-Skilled White-Collar Work? Machines Can Do That, Too July 8th, 2018
✍️ Machine Learning Engineering in 10 Weeks curriculum v1 July 7th, 2018
Rebooting AI - postulates July 5th, 2018
How not to structure your database-backed web applications: a study of performance bugs in the wild July 4th, 2018
Building a Deep Learning Powered GIF Search Engine – Zain Shah – Medium July 2nd, 2018
✍️ ProPublica unfairly maligns an automated decisionmaking algorithm; journalist piles on April 19th, 2018
✍️ Use sparse matrices unless you're working with decision trees April 18th, 2018