This is a great post, and just a great approach to learning.
— Jeremy Howard (@jeremyphoward) January 15, 2019
No other lib has the data block API. Learn it well and become a fastai superstar! https://t.co/OkU5D4PCEg
This is a great post, and just a great approach to learning.
— Jeremy Howard (@jeremyphoward) January 15, 2019
No other lib has the data block API. Learn it well and become a fastai superstar! https://t.co/OkU5D4PCEg
I've made a full set of random distributions available in Swift, by leveraging C++11. The result looks pretty nice I think!
— Jeremy Howard (@jeremyphoward) January 14, 2019
I've written an article showing the design and implementation, and discussing why random distributions are useful to coders.https://t.co/yFoncU323v pic.twitter.com/y2Bi5WneTR
"The Hundred-Page Machine Learning Book" is now available on Amazon: https://t.co/GRS1FsgWM2
— Randy Olson (@randal_olson) January 14, 2019
Of course, you can read the book in its entirety online first before buying: https://t.co/ndxPHixZx0 #MachineLearning #DataScience pic.twitter.com/GN7fNJ32nP
Big O https://t.co/eZ2bbpDzwV pic.twitter.com/YlLX6PUiuK
— Chris Albon (@chrisalbon) January 14, 2019
I've been dipping into the draft chapters of @ClausWilke's new online #dataviz book over recent months, and it's honestly one of the most impressive guides I've seen on the subject.
— John Burn-Murdoch (@jburnmurdoch) January 14, 2019
Seamlessly combines technical details with the theory behind them. Wonderful resource. https://t.co/rbgKeP6CVi
The massive collection of editable, online-runnable, wonderfully constructed examples of C++ use at cppreference might just be the best way to learn modern C++.
— Jeremy Howard (@jeremyphoward) January 13, 2019
Such a magnificent and under-appreciated resource.https://t.co/yRG1m6DwK4 pic.twitter.com/FvA1MqX7gx
😭 Missing this year's #rstudioconf?
— Mara Averick (@dataandme) January 12, 2019
Soothe the FOMO by checking out last year's talks!https://t.co/njMS3zxwKJ #rstats #dataviz pic.twitter.com/gHBA1pRUG5
py_regular_expressions - Learn Python Regular Expressions step by step from beginner to advanced levels https://t.co/X7AVpewsb5
— Python Trending (@pythontrending) January 12, 2019
Alternately, if not a full podcast, let me know if you know of recent episodes of any podcasts that cover these topics. I know there was one with @drewconway on @hugobowne's Data Framed about data science teams:https://t.co/F3y1L8P8VN
— Data Science Renee (@BecomingDataSci) January 11, 2019
Youdens J Statistic https://t.co/eZ2bbpDzwV pic.twitter.com/EPzEC2ejKd
— Chris Albon (@chrisalbon) January 11, 2019
In this guest article, @Sam_Witteveen covers how to run Keras on TPUs for free in Colab!
— TensorFlow (@TensorFlow) January 11, 2019
Read how here ↓ https://t.co/SaLwDRlGn0
Slides from my talk at the Fairness workshop at DALI 2019: https://t.co/8mFSV4ittv. Talk title was "The right way to do the wrong thing (with ML)? Dealt with material from this NeurIPS 2018 paper: https://t.co/YgGEu5JW3C
— Zachary Lipton (@zacharylipton) January 11, 2019