A weekly newsletter for data scientists who want to stay relevant and grow their careers in the age of AI (and beyond)
| Platform |  | Pricing | Freemium | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 86 | Founded | 2 years ago | Last Issue | 12 days ago |
| Active | |||||
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Shipping Models Is Not the Same as Shipping Systems
You’ve probably seen this statistic floating around: “87% of ML models never make it to production.”
The number has been quoted a lot since 2019. The problem is that it's just not fully accurate anymore, and hasn't been for a few years.
B...
Docker For Data Scientists (Simplified)
Before we begin the article…
I'm running a live six-week cohort on taking ML models to production. It starts September 8, and seats are limited (8 data scientists have already enrolled)
See the curriculum
That’s great, but…
This...
ML System Design for Data Scientists (How Senior Data Scientists Actually Think About ML Systems)
Something I've noticed over the years working with data scientists at all levels...
A lot of times, seniors and juniors don’t differ too much in raw skill. Both can build models, both can tune them, both can read a paper and implement it....
Google's TabFM: What Data Scientists Should Know About This New Foundation Model
Think about the last few ML models you trained…
They probably followed the same pattern: You had a dataset, you cleaned it, you built features, you picked an algorithm, you tuned it, you trained it on your data, and only then could you sta...
CI/CD for Data Scientists: How to Automate the Engineering Habits You’ve Built
👨💻 Welcome to the Engineering Skills for Data Scientists series, where I’ll be teaching the engineering skills that quietly separate data scientists who can ship from the ones who can’t. This is article 5 of 5. You can find the full se...
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Authors
The writers behind this newsletter.
Senior Data Scientist (and ex-hiring manager) with 8+ years in tech and applied AI/ML
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