Luis Serrano
Also known as Serrano.Academy, Grokking Machine Learning
Luis Serrano teaches machine learning through Serrano Academy, public videos, courses, and Grokking Machine Learning. He earned a mathematics doctorate at Michigan and worked in AI at Google, Apple, Udacity, Cohere, and Zapata Computing. He has worked across engineering, research, and education. His book introduces learning methods through Python and accessible mathematics, and its companion repository supplies chapter examples. The current academy covers supervised learning, unsupervised learning, deep learning, language models, and agents with retrieval. His public relevance comes from a sustained teaching practice that connects intuitive explanation with code. His worked examples move through regression, classifiers, neural networks, and model evaluation, giving learners code to inspect alongside the explanation.
- Now at
- Serrano Academy
Timeline
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Mathematics background
Preparing to explain technical ideas
Serrano earned degrees at Waterloo, a mathematics doctorate at Michigan, and completed postdoctoral work in Montreal. It also notes his mathematical research.
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Earlier AI career
Engineering, research, and education
He worked in AI at Google, Apple, Udacity, Cohere, and Zapata Computing. His work includes engineering, teaching, and quantum AI research.
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A public video practice
Creating Serrano Academy
Serrano built a YouTube teaching channel around accessible explanations of machine learning. The academy has years of videos and aims to help people learn and apply AI.
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November 2021
A book with code and examples
His book teaches supervised learning, data preparation, neural networks, and ensemble methods through examples and Python. The book is for readers with basic Python and high-school mathematics. The companion repository provides chapter material, including regression, classification, and testing, with original code for readers to inspect.
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Extending the learning material
Connecting ideas with practice
The book repository links model evaluation and training problems to worked examples. Serrano’s current learning hub also offers supervised learning, unsupervised learning, and deep learning courses. Its format combines videos, text, and coding labs, preserving the connection between an explanation and a task the learner can try.
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Current academy
Teaching language models and agents
The current hub includes large language models, reinforcement learning, and agents with retrieval. It brings his earlier explanatory approach into newer AI topics. He is a scientist, mathematician, author, and teacher.
Sources and credits
Photo: Luis Serrano / Serrano Academy. License: Not stated by source. Source: serrano.academy. Cropped to a square and resized. Ask us to remove or replace this photo.