ISSUE 348 · August 10, 2021
Insight
Data Monetization With Strategic Data Assets
Most data is underutilized. To use it more effectively, companies should transform it so it can be reused and recombined to create new value.
MIT Sloan Management Review
Sponsored Link
Understanding Bias in AI: What is it, how to identify it, and how to mitigate it.
It’s no secret...bias in AI is a problem. The more powerful AI capacity becomes, the more important it becomes to ensure that we are producing tools that make life better for more people, not simply scaling and perpetuating forms of error. That’s why we’ve created a guide to understanding and addressing possible sources of bias for your AI/ML project.
Tutorials, Projects & Opinions
How Airbnb Built “Wall” to prevent data bugs
This post continues a series that explores Airbnb's massive effort to ensure data quality across the organization. In this post, Subrata Biswas walks through the motivations, features, and architecture behind Airbnb's in-house data quality management framework called "Wall." For more in
this series, see the Archives.
Airbnb Tech Blog | Subrata Biswas
Applications of survival analysis
Survival analysis has been a standard tool for decades in clinical research, but data scientists in other domains have mostly ignored it. This introduction to survival analysis highlights practical applications to help jump-start your creative problem solving.
The Crosstab Kite | Brian Kent
ML Won't Solve Natural Language Understanding
In last week's Data Elixir, the posts "What Have Language Models Learned?" and the "Jessica
Simulation" were super popular. They're great demonstrations but ultimately, they treat language like data and that approach needs to be reconsidered if we're going to make progress towards natural language understanding. Here's why.
The Gradient | Walid S. Saba
Share Databases, Not Files
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Resources
An Introduction to Statistical Learning (ISLR)
The long-awaited second edition of this popular statistics text has just been released and it's been significantly expanded. Topics cover some of the most important modeling and prediction techniques and is intended to be accessible to a broad audience. Free to download.
Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
ISLR tidymodels Labs
If you're planning to read the 2nd edition of An Introduction to Statistical Learning (above), learn tidymodels too with this collection of labs that have been rewritten from the book to use tidymodels packages. As much as possible, these labs stay true to the original material.
Emil Hvitfeldt
📺 ML YouTube Courses
Great collection of some of the best and most recent machine learning courses available on YouTube.
GitHub | dair.ai
Career
The local minima of suckiness
How to become good by getting slowly less bad.
Vicki Boykis
Data Visualization
Visualizing a codebase
How could visualization be used to quickly show the structure of a codebase? Would that be useful? Check it out!
Amelia Wattenberger
The Typical Weather Anywhere on Earth
Awesome visualizations for the typical weather at nearly 150K locations around the world. Get graphical reports for temperature, precipitation, cloud cover, wind, sunrise/sunset, and more.
Weather Spark
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