Here’s a PyMC3 example using Gelman’s rat tumors dataset: https://t.co/jAIfNqYftK https://t.co/iW3JwHjjeu
— Chris Fonnesbeck (@fonnesbeck) June 8, 2018
Here’s a PyMC3 example using Gelman’s rat tumors dataset: https://t.co/jAIfNqYftK https://t.co/iW3JwHjjeu
— Chris Fonnesbeck (@fonnesbeck) June 8, 2018
This week's #KernelAwards winner uses the Stack Overflow 2018 Developer Survey and an extra-trees classifier to predict whether a given developer prefers Python or R: https://t.co/ZASWYDSKFK pic.twitter.com/S2MqEKjWHY
— Kaggle (@kaggle) June 8, 2018
Short Jokes dataset: dataset contains 231,657 short jokes scraped from various websites: https://t.co/C0kvbwJUkk
— Soumith Chintala (@soumithchintala) June 8, 2018
Are there any consolidated references for the types of humor, what makes something funny?
Slides of my talk at École Normale Supérieure de Paris "Smoothing/Regularization Techniques for Probabilistic and Structured Classification" https://t.co/O4MI6vK3Ke I give the big picture on regularized prediction functions, Fenchel-Young losses, SparseMAP and differentiable DP. pic.twitter.com/4C8Cv3TYNh
— Mathieu Blondel (@mblondel_ml) June 8, 2018
Kaggle submissions are an awesome way to start as a data scientist: check out @gebanks90's exploration of the classic Titanic survival dataset, looking at whether being in a nuclear family helped your chances 🚢 https://t.co/mDD47VdV6c #datablog #rstats pic.twitter.com/AeSjlT5iKL
— David Robinson (@drob) June 8, 2018
NeuralCoref v3.0 is out✨!
— Thomas Wolf (@Thom_Wolf) June 8, 2018
- up to 100x faster than v2.0 (thanks Cython) 🚀
- Integrated in spaCy models and pipeline 🤗 + 💫 = 💙
- Based on the fast neural net model by @stanfordnlp, trained in @PyTorch
Check it out: https://t.co/CzuJZi9TuV
Cc @spacy_io pic.twitter.com/z8OjrzEOAU
ml5.js is a machine learning library for creative coders that is built on top of tensorflow.js, with an API that is heavily inspired by Processing and p5.js. The examples are very readable and fun. Here is a char-rnn demo trained on Ernest Hemingway: https://t.co/LFlAabAzlh pic.twitter.com/pY918migHe
— hardmaru (@hardmaru) June 8, 2018
This is a great collection of 1,000+ datasets available through popular #rstats packages. Thanks for putting it together, @VincentAB!https://t.co/z854BWlWGU pic.twitter.com/HaOIBkWEvz
— Mike Freeman (@mf_viz) June 8, 2018
💥 trove of resources!
— Mara Averick (@dataandme) June 7, 2018
📊 "Open Access VIS - collection of open access visualization papers, material, and data"https://t.co/OEPWhbb94h via @sharoz #dataviz #ieeevis
[see same for #eurovis via @jamesscottbrown https://t.co/e73HtXHS6m] pic.twitter.com/25kjTYYPvT
"Optional Static Typing for #Python"
— Damian Gryski (@dgryski) June 7, 2018
By @gvanrossum https://t.co/6qPEbRdkHU
Video of World of Science Festival panel discussion on AI.
— Yann LeCun (@ylecun) June 7, 2018
Moderated by Tim Urban, with panelists Susan Schneider, Peter Tse, Max Tegmark and yours truly.
There is a pretty good article with the main points of the debate at Adventures In Poor... https://t.co/SGcVVFJ97R
Command Line Tricks For Data Scientists https://t.co/DRCGCEYeeN pic.twitter.com/Stvws3jOxI
— KDnuggets (@kdnuggets) June 7, 2018