Data Science #18
Andriy Burkov
PhD in AI, ML at TalentNeuron, author of ?? The Hundred-Page Language Models Book and ?? The Hundred-Page Machine Learning Book
In this issue: NumPy 2 is coming: preventing breakage, updating your code; five key trends in AI and Data Science for 2024; how to use Causal Inference when A/B testing is not available; one billion row challenge using base R; fastest way to read Excel in Python; let's talk about joins; and more.
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Excited for the new issue! Can't wait to read it! ??
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1 年Thanks for sharing! Looking forward to reading the latest issue.
Founded Doctor Project | Systems Architect for 50+ firms | Built 2M+ LinkedIn Interaction (AI-Driven) | Featured in NY Times T List.
1 年Very informative! Looking forward to reading it! ??
?? Generative AI Lead @ AWS ?? (90k+) | Startup Advisor | Public Speaker | AI Outsider
1 年About the five key trends, there is one that took my attention: “2. Data science is shifting from artisanal to industrial.”. Not agree….I still see most of the times artisanal work and what it’s even funnier is that companies in the journey to industrialize ML, they stopped everything just to try generative ai. Unless they come back to the previous point, we’ll see thousands of customers with Amazon gen ai PoCs accumulating dust on the desk.
CXO Relationship Manager
1 年thank u so much for sharing. it's useful information.