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

Questions to help scope analytics engineering projects by

1. Do I have the data from the primary source?
2. Is source data sufficiently granular?
3. Has this data set been used before?
4. Do the necessary keys exist to join all the data together?

An introduction to event data modeling by

"We believe that data science should be treated as software engineering". Check out these Data Science Best Practices:

A brilliant way to visualize the difference between data, information, knowledge, insight, and wisdom. Discovered on David Perell Monday Musings!


We've observed AIs discovering complex tool use while competing in a simple game of hide-and-seek. They develop a series of six distinct strategies and counterstrategies, ultimately using tools in the environment to break our simulated physics:

How To Make Custom AI-Generated Text With GPT-2 by

The computer is a machine, but a codebase is an organism. Great read by


Fantastic introduction to Deep Learning by

If you’re looking for the basics of deep learning, artificial neural networks, backpropagation, gradient descent, and more, this is for you! 📚

Scientific debt: when a team takes shortcuts in data analysis, experimental practices, and monitoring that could have long-term negative consequences.

Biology is not a nice tidy machine with perfect clockwork parts, it is a seething mass of randomness that somehow makes all this stuff we call life


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all data for download,
all our research and visualizations free for everyone to use for all purposes,
all our software open-source. is a public good

If you want to support us to do our work we very much appreciate it


1] A thread on what you can find on

– Our focus are the severe problems the world faces: Poverty, disease, hunger, climate change, war, inequality.

– Our mission is to provide the data and research that is needed to make progress against them.

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