Data Science #32
Andriy Burkov
ML at TalentNeuron, author of ?? The Hundred-Page Machine Learning Book and ?? the Machine Learning Engineering book
In this issue: a tutorial on testing percentiles; a primer on algorithmic differentiation; a search engine in 80 lines of Python; patterns and anti-patterns of data analysis reuse; how to beat proprietary LLMs with smaller open weight models; causal machine learning for predicting treatment outcomes; and more.
The sponsor of this issue is Galileo.
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Senior IT Solution Architect leading the development & delivery of comprehensive digital business solutions
2 天前Can't wait to read Andriy Burkov
Andriy Burkov, that lineup's packed. Testing percentiles and causal ML sounds like some rich material to dive into.
Business Owner @ DigitalPrompting | AI automation, digital marketing
2 天前Sounds like you covered a lot of ground. Which topic are folks most intrigued by?
Hiring geniuses looking for a new career ??
2 天前Sounds like an exciting edition filled with valuable insights. ??