Tag: learning

Neural Ordinary Differential Equations .... blog explains https://t.co/HYFhjnJckq

— Nando de Freitas (@NandoDF) January 10, 2019

Glossary of statistical terms, especially for non-statisticians: datamethods has the link and provides a place to suggest improvements or define new terms: https://t.co/ctj9ntHflk

— Frank Harrell (@f2harrell) January 10, 2019

My talk on new features of scikit-learn and future directions from "AI with the best" is now on youtube: https://t.co/Huqn5eAJEv

— Andreas Mueller (@amuellerml) January 9, 2019

😊 very handy code-through by @grrrck…
"Import a Directory of CSV Files at Once Using {purrr} and {readr}"https://t.co/18RShjyuC9 #rstats #purrr pic.twitter.com/iqlmjLlftv

— Mara Averick (@dataandme) January 5, 2019

Variance Inflation Factor https://t.co/eZ2bbpDzwV pic.twitter.com/pLn0m7Jufe

— Chris Albon (@chrisalbon) January 4, 2019

"Modern Deep Learning Techniques Applied to NLP"

An up-to-date learning resource that integrates important information related to NLP research, such as: SoTA, emerging concepts, applications, benchmark, datasets, code etc.https://t.co/aYRavEuup3 pic.twitter.com/tbosUGslq8

— ML Review (@ml_review) January 2, 2019

“A Visual Exploration of Gaussian Processes”

Nice interactive article about GPs:https://t.co/UyKCIAcoU7 https://t.co/xaKOmf8gko

— hardmaru (@hardmaru) January 1, 2019

Our revised #CausalInferenceBook is now freely available.

The book is organized in 3 parts of increasing difficulty: From counterfactuals and causal diagrams to treatment-confounder feedback and g-methods.

Thanks to everyone who sent us comments/typos.https://t.co/bRPFYazK2D

— Miguel Hernán (@_MiguelHernan) January 1, 2019

✨📚 Extremely excited for @MIT's new course on deep learning with @TensorFlow, starting next week and 100% free! Make sure to sign up to the course's mailing list + join the @Slack channel:https://t.co/I8XadrYZQo https://t.co/4ag2xiTd3R

— 👩‍💻 DynamicWebPaige (@DynamicWebPaige) January 1, 2019

Introduction to Pandas' MultiIndexes https://t.co/GZHBaYHMti

— PyCoder’s Weekly (@pycoders) December 31, 2018

Introduction to algebra as YouTube playlist. OMG! https://t.co/jAXHwMtADW

— Andreas Mueller (@amuellerml) December 29, 2018

Confession...

... I think I'm online educated in Deep Learning...

- Arxiv/Blogs for new stuff - ONLY option!
- Books/MOOCs/Youtube for old stuff (3+ yrs) - BEST option IMO!
- Twitter for ML debates

...guess I'm unqualified 😉#100DaysOfMLCode https://t.co/n2PDqzMPkH

— Andrew Trask (@iamtrask) December 28, 2018