In this week's #tidytuesday screencast, I analyze winners of Grand Slam tennis tournaments since 1968 🎾
— David Robinson (@drob) April 9, 2019
Don't miss my attempt to predict tournament winners based on a player's average past performance https://t.co/VIi3HUgOLD #rstats pic.twitter.com/V0uENpuL8w
Great talk by @ilyasut on GPT-2: https://t.co/IfouULNF9e
— Miles Brundage (@Miles_Brundage) April 8, 2019
Shared this video today and thought I'd re-post it for everyone. This is from the @thisismetis Demystifying Data Science conference, aimed at beginners.
— Data Science Renee (@BecomingDataSci) April 5, 2019
Exploratory Data Analysis (EDA) is something you should learn as soon as you start working with data.https://t.co/TZRubQ2FUs
I was honored to be given the opportunity to talk @scrippsresearch for "Future of Individualized Medicine 2019".
— Jeremy Howard (@jeremyphoward) April 1, 2019
In this talk, I describe why we need "Even Deeper Medicine", and how we might get there. If you can help meet this challenge, contact me.https://t.co/N7EBRZ5p6p
At our recent #FOIM19 conference, @jeremyphoward, a leading light in #A!, founder of @enlitic (& @fastdotAI w/ @math_rachel), gave an extraordinary talk on "Even Deeper Medicine" https://t.co/BsWcMA2LZX #DeepLearning @ScrippsRTI @scrippsresearch pic.twitter.com/LcVAFY8Tbc
— Eric Topol (@EricTopol) March 31, 2019
The @stanfordnlp Natural Language Processing with #DeepLearning 2019 course👉
— Kirk Borne (@KirkDBorne) March 29, 2019
YouTube videos playlist: https://t.co/vfaPJKqovo
New CS224N online hub: https://t.co/HvIjypMIpT#NLProc #TextAnalytics #MachineLearning #BigData #DataScience #AI pic.twitter.com/SVhKqFdo20
This has been the most popular slide from my first talk about Becoming a Data Scientist!
— Data Science Renee (@BecomingDataSci) March 29, 2019
Full talk here:https://t.co/zLrkqTGijf https://t.co/2HQy8zOG0I
'Tips and Tricks for Machine Learning' a live presentation from #KaggleDays Paris by Kaggle Grandmaster Stanislav Semenov. [WATCH] https://t.co/yOoVKPL0Z0 // @Kaggle_Days pic.twitter.com/UquzC4Df4Z
— Kaggle (@kaggle) March 26, 2019
Here is the recording of the talk about the callback system in fastai I gave yesterday @TwoSigmaVC hosted by @Cometml for the @PyTorch meetup in NYC. My part begins at 7:32.https://t.co/LoZsEbViZH
— Sylvain Gugger (@GuggerSylvain) March 21, 2019
All the @NeurIPSConf videos are up, linked from the schedule, and each video has its very own Table of Contents with links! https://t.co/ZNX3dIeg1j pic.twitter.com/rMv7QQpgmw
— Rachel Thomas (@math_rachel) March 6, 2019
Finally had a chance to watch @earowang's #RStudioConf talk on tidy time-series forecasting. Made me eager to dive into the tsibble and fable #rstats packages!
— Sharon Machlis (@sharon000) February 24, 2019
Video of the talk: https://t.co/eVc2k30kb5
tsibble: https://t.co/tmnPdLYL0o
fable: https://t.co/zG6ZA5jwzI
So much to learn about #machinelearning & #artificialintelligence on #pydata videos, including:
— PyData (@PyData) February 20, 2019
"Data versioning in machine learning projects" by Dmitry Petrov — how to solve the issue of discrepancy between code & data files https://t.co/4B317wMMnq
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