Tag: learning

Visual explanation of matplotlib syntax -- so helpful for learning this library!https://t.co/8nqAPInTd5 #DSLearnings #pydata #py4ds pic.twitter.com/PCQlQZ2gys

— Caitlin Hudon👩🏼‍💻 (@beeonaposy) August 22, 2018

📈 chart explanation on point!
"Exploring ggplot2 boxplots - Defining limits and adjusting style" 👩‍💻 @DeCiccoDonkhttps://t.co/Jx3DfOwUy0 via @USGS_R #rstats #dataviz pic.twitter.com/WJVPFXYvmz

— Mara Averick (@dataandme) August 22, 2018

"End to-end goal-oriented question answering systems" #KDD2018 Tutorial [SLIDES] https://t.co/Exn9sloCho - A lot of good #nlp stuff in these 200 slides

— Xavier 🎗🤖🏃 (@xamat) August 22, 2018

pass by reference | pass by value great animation to explain to beginners. pic.twitter.com/6Mr8ZVTMlk

— Mahdi Yusuf (@myusuf3) August 21, 2018

✨ Neat text prediction app w/ #tidytext by Nate Day
🔮 "Text Prediction: Predicts next word based on previously parsed n-gram look up" https://t.co/OY6a7wjV1T #rstats #rshiny #NLProc pic.twitter.com/tsSuo1T6nX

— Mara Averick (@dataandme) August 21, 2018

RT @afshinea 🔥Set of illustrated Machine Learning cheat sheets from Stanford's CS 229 class:
Deep Learning: https://t.co/BNQ7FpUum4
Supervised Learning: https://t.co/5bhzGHlUCl
Unsupervised Learning: https://t.co/ZaD94OQNNN
Tips and tricks: https://t.co/SciByei6a1 pic.twitter.com/ol2l2sdglt

— Kaggle (@kaggle) August 21, 2018

Discovering (paradoxically late in life) that I get more out of textbooks than books and that I don’t have to stop buying them just because I’m out of school. Good reading list pointers: https://t.co/ZDaqr3YQbW

— Andrej Karpathy (@karpathy) August 19, 2018

I've never had a customer or colleague refer to "Type 1" and "Type 2" errors. It's good to know there are 2 types (False Positive & False Negative), and be able to explain how they're relevant to model evaluation. If an interviewer expects you to know which is which, be wary! https://t.co/FZH5ekBV9P

— Data Science Renee (@BecomingDataSci) August 18, 2018

Check out this article on training and serving ML models with tf.keras, a walkthrough by @sdcubber ↓ https://t.co/vzExfoucTE

— TensorFlow (@TensorFlow) August 17, 2018

Function factories chapter of adv-R is now complete: https://t.co/ZKNNPDXX5T. Learn how to make functions that make functions 😱 (and why you might care with new ggplot2 examples) #rstats

— Hadley Wickham (@hadleywickham) August 17, 2018

List of interactive Machine Learning, Deep Learning and Statistics websites
By @pmigdal https://t.co/Wp5IYwe6hl pic.twitter.com/DDLJ0E8HAF

— ML Review (@ml_review) August 15, 2018

Extensive example using Prophet to forecast time series (in this case, item-level demand forecasting, which has complex seasonal and holiday effects) https://t.co/E4hV9UL6UM

— Ben Hamner (@benhamner) August 14, 2018