Hi Reader,
On Friday, Twitter open-sourced their recommendation algorithm! π
βYou can check out the source code on GitHub.
The most interesting code Iβve seen is the tweet ranking code.
The most embarrassing code I've seen is the author_is_elon feature. π€¦ββοΈ
Speaking of GitHub, let's move on to today's tip!
Did you know that GitHub has some hidden new features you can try out?
Go to github.com, click on your profile picture in the upper right corner, and then click "Feature preview":
There are currently 6 new features. You can turn each feature on or off with the Enable/Disable button:
βCode Search gives you a more powerful search:
βCode View gives you an easy-to-navigate file tree view:
βCommand Palette makes it faster to navigate around GitHub:
βRich Jupyter Notebook Diffs makes it easier to know what has changed in a notebook:
Try it out and let me know your favorite new GitHub features!
If you enjoyed this weekβs tip, please forward it to a friend! Takes only a few seconds, and it really helps me out π
See you next Tuesday!
- Kevin
P.S. How to use Gitβ
Did someone awesome forward you this email? Sign up here to receive data science tips every week!
Join 25,000+ intelligent readers and receive AI tips every Tuesday!
Hi Reader, I'm thrilled to announce that my new book, Master Machine Learning with scikit-learn, is now on sale! Buy from Amazon I poured my heart and soul into making this the highest quality and most practical Machine Learning book available. Publishing this book is a dream come true, and I'd be grateful if you'd consider picking up a copy! π Option 1: Get the paperback from Amazon ($19) Although most technical books of this size (300+ pages) tend to sell for at least $39, I've priced the...
Hi Reader, A few months ago, I announced that my new book, Master Machine Learning with scikit-learn, would be published in December. Since then, my personal life has undergone some dramatic changes π₯΄ During the transition, it has been challenging to focus on anything other than bare life essentials π½οΈ π πΏ Thankfully, my life has begun to steady (yay!), and so in the past few weeks I've been able to wrap up some key pieces of the project! β I'm thrilled to hold in my hands the FINAL proof...
Hi Reader, happy new year! π I wanted to share with you the three most important articles I found that look back at AI progress in 2025 and look forward at what is coming in 2026 and beyond. Iβve extracted the key points from each article, but if you have the time and interest, Iβd encourage you to read the full articles! π The Shape of AI: Jaggedness, Bottlenecks and Salients By Ethan Mollick βJaggednessβ describes the uneven abilities of AI: Itβs superhuman in some areas and far below human...