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- lime - Lime: Explaining the predictions of any machine learning classifier
- This is the website for Data Science at the Command Line, published by O’Reilly October 2014 First Edition. This hands-on guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You’ll learn how to combine small, yet powerful, command-line tools to quickly obtain, scrub, explore, and model your data.
- The codebase contains a replica of the AlphaZero methodology, built in Python and Keras. Gain a deeper understanding of how AlphaZero works and adapt the code to plug in new games.
- This episode was shot in Kananaskis, Canada. It is strongly advised that you have a good amount of surf experience before trying this wave. The shallow depth...
- a markdown crossplatform note taking app
- Illuminating mathematics, physics, biology and computer science research through public service journalism.
- A magazine for the mathematically curious. Issue 6 out now: cardioids in coffee cups, breakfast with Cedric Villani, plus our famous humour columns
- Eben gives you a crash course in how modern processors work to explain why Raspberry Pi is unaffected by the Spectre and Meltdown security vulnerabilities.
- Project documentation with Markdown.
- I teach deep learning both for a living (as the main deepsense.ai instructor, in a Kaggle-winning team1) and as a part of my volunteering with the Polish Chi...
- Introduction to Signal Processing in Analytical Chemistry
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