
Data-Driven Science and Engineering
by Steven L. Brunton, J. Nathan Kutz · first published 1900
11mentions
8recommended by
9HN commenters
2020–2025first – last mentioned
89% recommend11% neutral
Why HN recommends it
Accompanying YouTube lectures, free code in Julia and Python, and chapter-by-chapter materials make it a practical route into machine learning, dynamical systems and control for engineers and scientists.
Summarised by Claude from recommending comments
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…website. There is Julia and Python code companions for the book and lecture slides from both Profs their websites. Also check out their other books, many of which have free PDF's available. I can also recommend Data-Driven science and engineering by Brunton and Kutz. http://databookuw.com/ There used to be a free preprint PDF of the book but I can't find it now. Book is totally worth picking up... MATLAB and Python code available. Steve Brunton's…
on “A 2020 Vision of Linear Algebra” ↗I really like the Control System Bootcamp videos by Prof. Steve Brunton on youtube: https://www.youtube.com/watch?v=Pi7l8mMjYVE&list=PLMrJAkhIeN... Good book's to accompany the videos are: - linear systems theory by Joao Hespanha (has some MATLAB code) - Linear state-space control systems by Willams and Lawrence (has some MATLAB code) - Control system design by Bernard Friedland (20 usd dover pap
on “Introduction to Model Predictive Control” ↗…YouTuber besides 3B1B as is mentioned all over the comments, I really really like Steve Brunton at UW. I can't believe how much I've learned from his presentations on YouTube which led me to his book 'Data-Driven Science And Engineering' with J. Nathan Kurtz. Excellent book and excellent YouTube videos. http://www.databookuw.com/ https://www.youtube.com/channel/UCm5mt-A4w61lknZ9lCsZtBw
on “Ask HN: Best beginner friendly linear algebra book?” ↗Steve Brunton has some amazing videos on Wavelets on his Youtube Channel that are intended to be consumed alongside his book Data Driven Science and Engineering, but I found that they work great as standalone material as well.
on “Wavelets: A mathematical microscope [video]” ↗"The Dictator's Handbook: Why Bad Behavior is Almost Always Good Politics" (Bruce Bueno de Mesquita, Alastair Smith) "Outliers: The Story of Success" (Malcolm Gladwell) "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" (Steven L. Brunton, J. Nathan Kutz) "Yertle the Turtle and Other Stories" (Dr. Seuss) "The Lorax" (Dr. Seuss)
on “Ask HN: Which books have made you a better thinker and problem solver?” ↗…papers and specific code bases. Might not be a bad idea to start with a Python-based, practical RL book and move from practical demonstrations towards theory. A interesting book that I really like is Data-Driven Science and Engineering by Brunton and Kutz: - https://www.databookuw.com/ - https://www.amazon.com/Data-Driven-Science-Engineering-Learn... Steve Brunton also has an awesome youtube channel on dynamic systems, control, and…
on “Ask HN: Courses/textbook recommendations for studying robotics?” ↗…- https://m.youtube.com/channel/UC2ZZB80udkRvWQ4N3a8DOKQ 2. Steve Brunton's Physics Informed Machine Learning playlist - https://m.youtube.com/playlist?list=PLMrJAkhIeNNQ0BaKuBKY43k... 3. The book "Data Driven Science and Engineering" from Steve Brunton 4. Deep Learning in Scientific Computation from ETH Zurich - https://m.youtube.com/playlist?list=PLJkYEExhe7rYY5HjpIJbgo-...
on “Physics-Based Deep Learning Book” ↗I can also recommend Steve Brunton's playlist [0] on the topic of physics informed machine learning, as well as the book 'Data-driven Science & Engineering' [1] by him and Nathan Kutz. [0] https://www.youtube.com/playlist?list=PLMrJAkhIeNNQ0BaKuBKY4... [1] https://databookuw.com
on “Physics Informed Neural Networks” ↗…Theory Pattern Recognition and Machine Learning The Nature of Computation Principles of Cyber-Physical Systems Introduction to Embedded Systems, Second Edition: A Cyber-Physical Systems Approach Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control An Invitation to Applied Category Theory: Seven Sketches in Compositionality BTW, feel free to ask for recommendations in physics, especially stat mech,…
on “Ask HN: What do you read for general knowledge?” ↗One thing to check out is he has a great series on "Data Driven Science and Engineering" to go alongside his book and the website has all the code and links to all the videos for each chapter. https://databookuw.com/
on “Monte Carlo Crash Course: Quasi-Monte Carlo” ↗I've been using it a lot while working through two very math-y books right now - Princeton's Companion to Mathematics and Data-Driven Science and Engineering. To your point, I have some background in undergraduate level mostly applied math, but there are a lot of things where I don't understand the argument or immediately have an intuition for what's going…