ISSUE 343   ·   July 6, 2021

In the News

Hard choices: AI in health care

From assisting medical procedures and diagnostics to analyzing patterns in research data, AI enhances medical science in many ways. But in practical terms, the confluence of AI and medicine is fraught with controversy.
Yale School of Medicine | Jennifer Huizen

The Startups Applying AI To Tackle Climate Change

Lots of ideas here for worthwhile problems to work on. Sections cover things like climate intelligence, carbon accounting, HVAC, agriculture, utilities, renewables and more. Each section includes a summary of the key issues, who's working on them, approaches, and related links.
Forbes | Rob Toews

Sponsored Link

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Tutorials, Projects & Opinions

The Untold Story of SQLite

SQLite is everywhere. It’s in your web browser, it’s in your phone, it’s probably in your car, and it’s definitely in commercial planes. This is a great interview with SQLite's creator, Richard Hipp, where he tells the story of growing a small open source project beyond his wildest dreams.
CoRecursive | Adam Bell with Richard Hipp

The data team: a short story

This is a story about how work is organized on a data team. It's fictionalized and it's not about the tech. Here's the backdrop: you're brought in to grow a tiny data team (~4 people) at a mid-stage startup (~$10M annual revenue). Good luck!
Erik Bernhardsson

Managing Supply and Demand Balance Through ML

DoorDash is a restaurant delivery service that depends on maintaining a healthy balance between contract delivery people and the demand for orders. Here's how they built a machine learning system that effectively monitors each market's supply and demand and uses incentives to proactively correct imbalances. 
Doordash Engineering 

Alien Dreams: An Emerging Art Scene

CLIP is the latest tool in the AI-generated art scene and it's amazing. Here's a high-level view of how it works, screenshots of more than 20 recent masterpieces, and lots of rabbit holes to explore. 
ML @ Berkeley | Charlie Snell

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Code & Tools

testbook - unit testing for Jupyter Notebooks 

testbook helps you set up conventional unit tests for Jupyter Notebooks. Unlike other tools, testbook allows unit tests to be run against notebooks in separate test files, which is cleaner and more effective than writing tests within a notebook. It's easy to use and works with common testing libraries, such as unittest, pytest and nose.
testbook

Resources

Welcome to the Hugging Face 🤗 Course!

This free course will teach you about natural language processing (NLP) using libraries from the Hugging Face ecosystem — 🤗 Transformers, 🤗 Datasets, 🤗 Tokenizers, and 🤗 Accelerate. It's an all-star lineup of authors and it looks like an awesome way to get started with NLP.
Hugging Face 

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