ISSUE 433 · April 25, 2023

In the News

Inside the secret list of websites that make AI like ChatGPT sound smart

In spite of their rapid popularity, the details of how chatbots are trained are mostly hidden. In this article, The Washington Post dives into a dataset of 15 million websites that were used to train some high-profile AIs to reveal the range of input that are shaping what AIs "know."
Washington Post | Kevin Schaul, Szu Yu Chen and Nitasha Tiku 

Tutorials & Opinions

More Design Patterns For Machine Learning Systems

Design patterns don't just make it easier to write good code. They also communicate the problem being addressed and how the code or component is intended to be used. In this continuation of a series, Eugene Yan explores common design patterns that are used in industry to build machine learning systems.
Eugene Yan

Data analysis with SQLite and Python

In a workshop at PyCon last week, Simon Willison presented a three-hour tutorial on data analysis using SQLite and Python. Here's the 9-page handout, covering the basics of using the sqlite3 module, sqlite-utils, Datasette and even a bit on Datasette Lite.
Simon Willison

Writing performant code with tidy tools

When computational efficiency is the priority, switching from functions in dplyr and tidyr to the backend tools underlying them can result in substantial speedups.
Tidyverse | Simon Couch

A data analyst workflow, part 1: SQL & tidyverse

Nice tutorial that shows how a data analyst can use either SQL or the tidyverse for the initial stages of data exploration and then double down on tidyverse with ggplot2 for a deeper exploration.
R Views | Vidisha Vachharajani

Resources

Recommended Resources for Starting A/B Testing

There are a lot of resources for A/B testing, but where do you start? In this post, Emily Robinson and Eddie Wharton have curated some of the best resources on the web to help teams design, implement, and analyze A/B tests effectively.
Emily Robinson and Eddie Wharton

How to Run Surveys

Great guide on effectively running surveys for data collection. It covers things like sample selection, survey design, data collection and data analysis. It also highlights considerations to make sure your results are accurate, reliable, and useful.
Stefanie Stantcheva

Data Visualization

Visually Accessible Data Visualization

Creating data visualizations that are accessible to people with common types of color blindness will enable more people to understand your visualizations and products. In this post, Derek Torsani walks through the challenges of creating accessible charts and shows the strategies used by his team at Plaid. 
Plaid Design | Derek Torsani

How did you like this issue of Data Elixir?

👎    1     2     3     4     5   👍

Was this email forwarded to you?  Sign up here >>