David Gasquez @davidgasquez@mastodon.xyz
Pinned toot
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 @getdbt@twitter.com
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 @snowplowdata@twitter.com.
"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!
The Computer Science of Human Decision Making by Tom Griffiths.
RT @OpenAI@twitter.com
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: https://openai.com/blog/emergent-tool-use
Data Lake at Robinhood https://buff.ly/2LSN1hJ
On Eliminating Error in Distributed Software Systems https://buff.ly/34PtHKE
How To Make Custom AI-Generated Text With GPT-2 by @minimaxir@twitter.com.
The computer is a machine, but a codebase is an organism. Great read by @kevinsimler@twitter.com.
Amazing Graphs by @numberphile@twitter.com.
RT @ana_valdi@twitter.com
WOW.
El mapa de la renta en España, calle a calle 👉https://elpais.com/economia/2019/09/11/actualidad/1568217626_928704.html
RT @davidgasquez@twitter.com
Fantastic introduction to Deep Learning by @tastingevery@twitter.com.
If you’re looking for the basics of deep learning, artificial neural networks, backpropagation, gradient descent, and more, this is for you! 📚
https://towardsdatascience.com/intro-to-deep-learning-c025efd92535
RT @binalkp91@twitter.com
Me tuning hyperparameters https://twitter.com/howwemovin/status/1169830162088652801
Scientific debt: when a team takes shortcuts in data analysis, experimental practices, and monitoring that could have long-term negative consequences.
http://varianceexplained.org/r/scientific-debt/
Overview of efficiency concepts in Big Data Engineering. 🔧
https://medium.com/analytics-and-data/overview-of-efficiency-concepts-in-big-data-engineering-418995f5f992
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
https://gist.github.com/andy-thomason/f304850bdf20d2cd2ecbb042d81b5e54
RT @MaxCRoser@twitter.com
No paywall,
all data for download,
all our research and visualizations free for everyone to use for all purposes,
all our software open-source.
http://OurWorldInData.org is a public good
If you want to support us to do our work we very much appreciate it http://ourworldindata.org/donate
Solving Every Sudoku Puzzle.
RT @MaxCRoser@twitter.com
1] A thread on what you can find on http://OurWorldInData.org
– 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.
