SF Data Weekly - Joe Rogan AI, Cynicism and Privacy





Subscribe to our newsletter

By subscribing, you agree with Revue’s Terms of Service and Privacy Policy and understand that SF Data Weekly will receive your email address.

September 30 · Issue #259 · View online
SF Data Weekly
This week’s pick describes how a new Joe Rogan listener used AI to analyze and classify over 5,000 hours of podcasts.
We also have a piece on the importance of cynicism in avoiding wild goose chases, and how to maintain privacy when doing A/B testing. Stay healthy!

Our Pick
I’m consuming 5500+ hours of Joe Rogan with the help of AI | by Enias Cailliau | Steamship | Sep, 2022 | Medium
Data Pipelines
Why ETL is Critical for Ecommerce Data Success & How to Start | Integrate.io
The 5 Most Popular SQL Transforms | by Josh Berry | Sep, 2022 | Towards Data Science
Data Storage
The Vector Database Index - Gradient Flow
Data Analysis
Cynicism: a must-have for data scientists | by Cassie Kozyrkov | Sep, 2022 | Towards Data Science
A/B Tests, Privacy, and Online Regression | by Matteo Courthoud | Sep, 2022 | Towards Data Science
GitHub - quadratichq/quadratic: Quadratic | Data Science Spreadsheet
Data Visualization
Can We Understand Blood Test Results without Numbers? Ask Participant 23 | Nightingale
Data-driven Products
Data Engineering Best Practices: How Netflix Keeps Its Data Infrastructure Cost-Effective | by The Data Observer | Medium
Upgrading Data Warehouse Infrastructure at Airbnb | by Ronnie Zhu | The Airbnb Tech Blog | Sep, 2022 | Medium
Data Engineering Jobs
What it’s like to be a parent on the Core Data Science team at Meta | Meta Research
Did you enjoy this issue?
In order to unsubscribe, click here.
If you were forwarded this newsletter and you like it, you can subscribe here.
Powered by Revue
650 California St., San Francisco, CA 94108