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Luis Serrano: machine learning explained simply

Luis Serrano runs Serrano.Academy, teaching machine learning with pictures and analogies to 196K subscribers, and wrote Manning's Grokking Machine Learning.

Luis Serrano: machine learning explained simply

Luis Serrano is an AI educator, mathematician and author who runs Serrano.Academy, a YouTube channel and course site that explains machine learning through illustrations and analogies rather than formula-heavy derivations. He holds a PhD in mathematics from the University of Michigan, took his bachelor's and master's degrees at the University of Waterloo, and did a postdoctoral fellowship at the University of Quebec at Montreal. He won a bronze medal for Colombia at the 1999 International Mathematical Olympiad. Before teaching full time he was a machine learning engineer at Google, lead AI educator at Apple and head of AI and data science content at Udacity, worked at Cohere, and was a research scientist in quantum AI at Zapata Computing. He wrote Grokking Machine Learning, published by Manning in November 2021; a second edition has been in early access since December 2025, with publication estimated for November 2026. The channel has run since September 2013 and has about 196,000 subscribers; recent videos cover attention and low-rank adaptation, and the site carries his courses on large language models, reinforcement learning and deep learning.

Specialization
machine learning education, mathematics of ML, large language models, technical writing
Country
Canada

Work