I’ve put together a bunch of my writing on data analysis into a new book. I plan to add to it over the next year but it’s mostly there! https://t.co/BXdHxwcXq6
— Roger D. Peng (@rdpeng) September 27, 2018
I’ve put together a bunch of my writing on data analysis into a new book. I plan to add to it over the next year but it’s mostly there! https://t.co/BXdHxwcXq6
— Roger D. Peng (@rdpeng) September 27, 2018
This is *actually* how to visualize decision trees. Article and code written by me, @groverpr4. Awesome seminar by @EdwardTufte seems to have paid a dividend! https://t.co/5au2F08qaF pic.twitter.com/dUxgL8rKp0
— Terence Parr (@the_antlr_guy) September 26, 2018
Proud to be launching "Introduction to Machine Learning for Coders" today. If you're looking for a modern, code-first, opinionated introduction to machine learning, I think you might like this.https://t.co/lJFoX6LxMj pic.twitter.com/PxuEAU0c4V
— Jeremy Howard (@jeremyphoward) September 26, 2018
Optimizers like SGD, Adam, and Adagrad are very mysterious things. @distillpub has created #interactive #visualizations which get you that *gut instinct* of how they work!!!
— Trask (@iamtrask) September 26, 2018
For #100DaysOfMLCode - learn by playing with these visualizations! (yes! play!)https://t.co/KpjPEDqjwd pic.twitter.com/pTEgejHkg4
Rumour has it @dvaughan32 killed his talk last night…
— Mara Averick (@dataandme) September 26, 2018
⏰ "Time series & financial analysis in the tidyverse"
📽 https://t.co/h2jGX0fZ38 #rstats
* feat. @earowang's {tsibble}, @bizScienc 📦s, and {rsample} pic.twitter.com/fYrC1hoHLB
"How to make a racist AI without really trying." Fantastic post, with good code and reasonable first steps. (Negative values indicate negative sentiment.)https://t.co/ybSxwHbcgl (h/t @davidjustodavid) pic.twitter.com/2P973zBpHM
— Brad Voytek (@bradleyvoytek) September 25, 2018
Working on a deep learning predictive modeling project? Check out @JakobAungiers updated article: "Time series prediction using LSTM deep neural networks" https://t.co/Olzb3JQjZ4 #deeplearning pic.twitter.com/hMO0AZiNju
— Kaggle (@kaggle) September 25, 2018
This series of Jupyter Notebooks is a VERY nice step-by-step introduction to data science and machine learning. If you're just starting out - I recommend walking through these notebooks as a first primer
— Trask (@iamtrask) September 25, 2018
Definitely a great #100DaysOfMLCode projecthttps://t.co/RA7c8jg1Yk pic.twitter.com/tHWw8tYyEC
every commit has a parent pic.twitter.com/4Z5Lu6seiK
— 🔎Julia Evans🔍 (@b0rk) September 25, 2018
more git fundamentals for @ohshitgit: a branch is a pointer to a commit pic.twitter.com/FPm5MmV4a2
— 🔎Julia Evans🔍 (@b0rk) September 25, 2018
Nice set of slides explaining Normalizing Flows https://t.co/tyTOGf6jWf
— hardmaru (@hardmaru) September 24, 2018
🤓 pretty, interactive maths…
— Mara Averick (@dataandme) September 24, 2018
"A Visual And Interactive Look at Basic Neural Network Math" 👨💻 @jalammar https://t.co/Z57CmLfvxD #NeuralNetworks #visualization pic.twitter.com/Zytg8ratW4