ISSUE 408  ·   October 11, 2022

Trends

State of AI Report 2022

This slide deck is one of the most comprehensive resources you'll find about the current state of AI. Explores a variety of topics including research, commercial applications, politics, safety, and predictions for the coming year. It's dense but it's a very visual deck and easy to follow.
Nathan Benaich and Ian Hogarth

Discovering novel algorithms with AlphaTensor

In a paper published in Nature, DeepMind researchers introduced an AI system that discovered a faster way to do matrix multiplication. It's a big deal - not just because matrix multiplication is crucial to data and engineering work - but because the system, called "AlphaTensor," is designed to optimize arbitrary objectives. Here's how it works.
DeepMind Blog

Sponsored Link

IBM & Meta Keynote the TechCrunch x iMerit ML DataOps 2022

More speakers, more knowledge that you won't want to miss! Join keynote speakers Seth Dobrin, IBM’s former Chief AI Officer as he discusses responsible AI & Manohar Paluri, Meta’s Director of FAIR as he dives into the value of AI that leverages human intelligence.
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Tutorials, Projects & Opinions

Bringing more causality to analytics

In his latest post, Sean J. Taylor introduces a new analytics product he's helping design that's intended to do what he calls "exploratory causal analysis.” The idea is to enable analysts to quickly discover and stress-test potential causal relationships in their data. This post explores why and how that could be useful.
Motif Analytics | Sean J. Taylor

RecSys 2022 - Recap, Favorite Papers, and Lessons

RecSys is an annual ACM conference for recommender systems research. In this selection of papers from the recent RecSys 2022, Eugene Yan summarizes each paper, pulls out key points and questions, adds diagrams and includes links for further reading. Useful post!
Eugene Yan

What I learned building platforms at Stitch Fix

A lot of roles include at least some "software development" but engineering something you can build on top of isn't straightforward, especially as your needs grow. This is an insightful post with key lessons-learned from building platforms for a team of data scientists.
Stefan Krawczyk

How fateful?

Great tutorial that starts with data from Google Map's location history and then reverse-engineers "almost-met" encounters. How many times did you literally walk past someone before finally meeting? There's code here, visualizations, and a sweet story to drive it.
Channon Perry

Career

Storytellers and System Builders

There are a lot of job titles for data roles these days. Are you a Data Scientist? Data Analyst? ML Researcher? ML Engineer? BI Analyst? Analytics Engineer? Data Visualization Designer? Hang on. Here's a new way to think about data roles. Are you a storyteller or systems builder?
Hex | Morgan Krey

Code & Tools

Pandera - data testing library for Python

Pandera is an open source framework for data testing, built for data scientists and machine learning engineers. It provides a simple, zero-configuration Python library to help you write complex schemas and validate critical points of your pipeline in production.
Union AI | Pandera

Panel - app and dashboarding solution for Python

Panel is an open-source Python library that makes it easy to create interactive web apps and dashboards by connecting user-defined widgets to plots, images, tables, or text. Works with visualizations from Altair, Bokeh, HoloViews, Matplotlib, Plotly, pydeck, PyVista and more.
GitHub | Holoviz 

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