Katrina Ni

[Katrina Ni @DataING_Katrina]

@rlmcelreath Really enjoyed reading the book so far. Our team is having weekly stats book club on this one!

[Katrina Ni @DataING_Katrina]

@Even_Oldridge Congrats!

[Brad Fitzpatrick 🌻 @bradfitz]

Whoa:

"Run VS Code on a remote server"
https://t.co/qTwRHNHg1B

I haven't been able to fight Emacs+screen+mosh addiction for ~20 years now (well, mosh was recent addition) because I loved being able to move between machines & have my state preserved.

I've been waiting for this!

[Kaggle @kaggle]

Looking for clean datasets to try out your ML ideas? Here's a short list of some of our favorites: https://t.co/jo8wQcIDwf

[Node.js @nodejs]

For those who 💜 #nodejs and #javascript the folks @WomenWhoCode have ticket giveaways to @nodevember in Nashville, TN. #WWCode https://t.co/YcgRQzHE5I

[Randy Olson @randal_olson]

Woot! TPOT broke 3,000 #GitHub stars today. By far one of the most popular #OpenSource #AutoML tools out there.

#Python #MachineLearning #DataScience

https://t.co/djdfWmVGPY

[ASA @AmstatNews]

Practical Data Science for Stats: @thePeerJ Collection created by @hadleywickham & @JennyBryan https://t.co/BCmAImT9WB

[Jeremy Howard @jeremyphoward]

Amazing resource thanks to @PyGurl: video walkthru of every single chapter of the famous @goodfellow_ian Deep Learning book https://t.co/z07flq25Oz

[Katrina Ni @DataING_Katrina]

Congrats to Raj's Team for winning the First Prize! #unearthedVan @bigdata_SFU

[Thomas Wiecki @twiecki]

TensorForce: A new @tensorflow library for reinforcement learning. https://t.co/Pov7WRSC5s Would be fun to try on StarCraft2. #DeepLearning

[Katrina Ni @DataING_Katrina]

🔥 Hot off the press: “DataING Weekly Digest - Issue #6” https://t.co/Yqfra6xXbT (via @revue)

[Hadley Wickham @hadleywickham]

Easily launch terminals from RStudio! https://t.co/wfhbVtafD2

[JavaScript Daily @JavaScriptDaily]

An 'Ultimate' Atom Editor Setup for JS Development: https://t.co/EUNy10n9Sn (Tons of recommended packages here if you're an Atom user.)

[JupyterCon 2023 @JupyterCon]

Today's Jupyter digest features #TensorFlow cookbook materials, #Python lectures, source notebooks + more https://t.co/9WkD3B8TY1 @odewahn

[Torsten Scholak @tscholak]

My tutorial on Bayesian machine learning is available on YouTube, https://t.co/3oOV8kLIIh

[Randy Olson @randal_olson]

"#Python for Scientists and Engineers" is now free to read online: https://t.co/lJhLAX5aiR

Covers #programming, data analysis, ML, & more.

[Hadley Wickham @hadleywickham]

Great overview of typical data science workflow by @pgbovine: https://t.co/pNBV5jy3XS

[DEV Community @ThePracticalDev]

Stack Overflow just released a tool called "Trends", which tracks the popularity of programming terms over time. https://t.co/iABfgEBmGP

[Kaggle @kaggle]

Stanford's CS 20SI syllabus on TensorFlow for deep learning is a perfect intro for people with some ML experience https://t.co/wxOmVOzAcL

[Alex Kalinin @alxndrkalinin]

2nd place solution for the national Data Science Bowl 2017 – interesting tricks and C3D architecture https://t.co/QnTvJzvNXD #DataSciBowl