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If you wish to make an apple pie from scratch, you must first invent the universe — Carl Sagan

The Government Protects Our Food and Cars. Why Not Our Data? buff.ly/2NFK1al

RT @iridium77@twitter.com

Python 3 and Python streaming on Dataflow are generally available! Thank you all for making it happen!

cloud.google.com/blog/products

Effective Study Skills for College Students:

Asking “Why?” Questions
buff.ly/2WDYIh3

"There's no love in a carbon atom, No hurricane in a water molecule, No financial collapse in a dollar bill." – Peter Dodds

complexityexplained.github.io/

What are some websites like distill.pub? Looking for distilled and beautifully presented papers on any topic. 📚

RT @cathalhoran@twitter.com

The range of features and how easy they are to use in @spacy_io@twitter.com is really impressive. Great overview of a few here along with some useful spaCy add-ons such as language detection medium.com/eliiza-ai/a-tour-of via @EliizaAI@twitter.com

A/B testing helps organizations make decisions that lead to increases in conversion, engagement, and other metrics, but it is not a silver bullet.

buff.ly/2Md4Qcr

Congratulations for 200 awesome issues of the DSR @jthandy@twitter.com! Thanks for doing the best Data Science/Engineering newsletter. 🎉

RT @jeremyphoward@twitter.com

After completing first 3 lessons of course.fast.ai, @vedrangrcic@twitter.com completed the assignment using a dataset of clouds. He shared it on the forums.

Then it got re-trained on world's largest cloud dataset and is now deployed in 120 countries!

Fantastic work, Vedran! :)

RT @stephen_wolfram@twitter.com

The $30,000 question: how random is rule 30? Will we know this year, this decade, this century? (For the digits of pi, it's been 100+ years…) wolfr.am/H05meab8

What’s a good learning rate? How many hidden layers should your network have? Is dropout actually useful? Why are your gradients vanishing?

Check this awesome guide by @lavanyaai@twitter.com to help you gain some intuition around Neural Networks.

towardsdatascience.com/designi

RT @tobi@twitter.com

Tim asked me on his podcast "If you could put a billboard up that everyone would see, what would it say?" I didn't have a good answer back then, but if he'd ask me now I'd say "Go read every word of @waitbutwhy@twitter.com's series The Story of Us" waitbutwhy.com/2019/08/story-o

RT @dask_dev@twitter.com

Many Scikit-Learn workflows can be easily parallelized with Dask.

Operations like grid search, random forest, and others that use the njobs parameter in Scikit-Learn can automatically hand-off parallelism to a Dask cluster.

ml.dask.org/joblib.html

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