Steven Brunton

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Steven Brunton

Steven Brunton

@eigensteve

Teaches math to engineers: https://t.co/TJ5i3Pg678 Professor @UW researching #MachineLearning for #Dynamics and #Control, especially for #FluidDynamics.

Katılım Nisan 2016
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Steven Brunton
Steven Brunton@eigensteve·
New 20hr bootcamp on Probability & Statistics!!! Videos released weekly but full playlist already posted: youtube.com/watch?v=sQqnia… Probability & Statistics are cornerstones of data science and machine learning. This course rapidly covers the basics and gets into advanced topics.
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Steven Brunton
Steven Brunton@eigensteve·
Optimization Bootcamp now live on YouTube!!! youtu.be/lPBPbGmw1_4 Videos will release every few days, so keep tuned! Book available on Amazon July 16 Free PDF of book soon!
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pfung
pfung@philfung·
Who are the best lecturers you've had? For me, these stood out: Stephen Boyd, Convex Optimization, Stanford Yaser Abu-Mostafa, Machine Learning, Caltech
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Ricardo Vinuesa
Ricardo Vinuesa@ricardovinuesa·
📢 Open positions at the VinuesaLab, @MichiganAero !!✈️ ✅ Postdocs ✅ Summer graduate researchers to transition into PhD We are working on: ✅ Flow control through DRL ✅ Foundation models and agentic AI for optimization and discovery Email with subject [Join VinuesaLab] or DM!!
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Ricardo Vinuesa
Ricardo Vinuesa@ricardovinuesa·
New YouTube video!! We are thrilled to present our AIAA Community Challenge, open to all participants, and we are expecting submissions on: compression, forecasting and sensing. Video: youtu.be/zfUbIveDJak?si… More information on the paper: arxiv.org/abs/2601.06183
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Ricardo Vinuesa
Ricardo Vinuesa@ricardovinuesa·
Our new Perspective is out in @CommsPhys: Decoding complexity through machine learning is redefining scientific discovery! We discuss how ML is reshaping science across systems with known, partial, or unknown governing principles!! doi.org/10.1038/s42005… #AI4Science #Discovery
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Ibrahim
Ibrahim@Ibraztech·
@eigensteve Word enough can quantify how grateful i am from watching your lectures. All I can is say is thank you. I get to not just Understand engineering because of you but also love it. thanks @eigensteve
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Steven Brunton
Steven Brunton@eigensteve·
@MarcoSouzetski The DDSE book is more about basic methods for machine learning and dynamics, and less about the optimization algorithms. This book is more about the optimization fundamentals, how to derive and use algorithms, and how to related to deeper optimization to cook up new algorithms
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Argus
Argus@MarcoSouzetski·
@eigensteve Great! What is different from your book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control"
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Steven Brunton
Steven Brunton@eigensteve·
I Wrote a New Book!!! Optimization: A Bootcamp for Machine Learning, Inverse Problems, and Control Pre-Order Now (July 31) amazon.com/Optimization-B… Coming Soon: * Free PDF on website * YouTube Videos for entire book * Python code on GitHub
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Steven Brunton
Steven Brunton@eigensteve·
@MRisso Just reposted the original thread with the table of contents
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MR@MRisso·
@eigensteve Cool! Is the index available?
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Asim Ahmed
Asim Ahmed@asim800·
@eigensteve This looks great. Is there ToC somewhere that I can peruse?
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Steven Brunton
Steven Brunton@eigensteve·
Many of you have been asking for the table of contents, so here they are:
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Steven Brunton
Steven Brunton@eigensteve·
@tak3sh8 Just reposted the original with the table of contents
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Dersu
Dersu@tak3sh8·
@eigensteve Is there a table of content available anywhere?
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Matt Ferraro
Matt Ferraro@mferraro89·
@eigensteve I love your lectures, I went ahead and pre-ordered! Congratulations on getting it over the finish line!
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Steven Brunton
Steven Brunton@eigensteve·
@emharsha_1812 Good question; I’m not sure if Cambridge is planning one but I’m sure it would help if you emailed them. And no worries at all if you can’t afford it, feel free to download the PDF when it is available
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Matt Harrison
Matt Harrison@__mharrison__·
@eigensteve Props to you! Not easy to write a book not crack the ranks. 👍
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