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MLTechniques’ “Top 30 Machine Learning Influencers to Follow in 2023” is a historical LinkedIn-based list published on October 13, 2022—not a current ranking. Although its title promises 30 people, the article names 40: 12 with short profiles and 28 in a names-only section.
How the list was compiled
MLTechniques says the list was based on LinkedIn and selected people using four criteria: more than 50,000 followers, relevance and contributions to machine learning, relevant education and professional experience, and recent activity. It also says the names appear in alphabetical order and that the publisher retained discretion over inclusion. The list is therefore an editorial selection, not a scored ranking by influence.
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The page was published by MLTechniques on October 13, 2022, and credited to Vincent Granville. Granville also published it on LinkedIn the same day. Read the MLTechniques article or see Granville’s LinkedIn publication.
Why the title says 30 but the article names 40
The discrepancy is in the article itself: it gives short biographical entries for 12 people, then lists 28 more names. The title’s “Top 30” count does not match those 40 names. The source does not explain the mismatch, so the list is best understood by its contents rather than its headline count.
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The 12 people with profiles
These are the names for which the article provides short profiles:
- Kirk Borne
- Andriy Burkov
- Lex Fridman
- Vincent Granville
- Chip Huyen
- Cassie Kozyrkov
- Yann LeCun
- Allie Miller
- Andrew Ng
- Steve Nouri
- Aishwarya Srinivasan
- Bojan Tunguz
The page includes descriptions and follower counts for these entries, but those details are claims from a 2022 article. They should not be read as current follower counts or confirmation of anyone’s present role.
Rank #2
The 28 additional names
The article’s names-only section contains:
- Anima Anandkumar
- Craig Brown
- Greg Coquillo
- Isaac Faber
- Alex Freberg
- Michael Green
- Andrew Jones
- Kristen Kehrer
- Andreas Kretz
- Kunal Kushwaha
- Daliana Liu
- Danny Ma
- Serg Masís
- Keith McNulty
- Sumit Mittal
- Laurence Moroney
- Kevin Murphy
- Krish Naik
- Vipul Patel
- Dipanjan Sarkar
- Nick Singh
- Adam Sroka
- Kate Strachnyi
- Abhishek Thakur
- Philip Vollet
- Alex Wang
- Eric Weber
- Zach Wilson
Because these 28 entries are names only, the article does not provide comparable biographies for them.
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Andriy Burkov, one of the profiled names, is identified as the author of The Hundred-Page Machine Learning Book. The list makes this a relevant starting point for readers interested in a book associated with someone it features. The historical article does not establish current edition, stock, or seller availability.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How to use the list today
Use it as a snapshot of a publisher’s LinkedIn-focused selection made in 2022 for readers looking ahead to 2023. It is not evidence of who is most influential now, and its dated follower figures and descriptions should not be treated as current. Since the source gives no explicit geographic scope, it also should not be assumed to represent a particular country or region.
Quick Recap
Best Value
Rank #4
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