New Book!!! Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control

New 2nd Edition of our book: "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz
DOWNLOAD 2ND ED PDF: faculty.washington.edu/sbrunt...
1ST ED PDF: databookuw.com/databook.pdf
AMAZON: www.amazon.com/Data-Driven-Sc...
CAMBRIDGE: www.cambridge.org/highereduca...
CODES: github.com/dynamicslab/
NEW IN THIS EDITION:
* New Chapters:
* Reinforcement learning
* Physics-informed machine learning
* Code in Python and Matlab
* Homework for every chapter ranging from introductory topics to advanced projects
* Videos for every section
* New sections throughout, with topics including condition number and error bounds for the SVD; autoencoders, recurrent neural networks, and generative adversarial networks; and neural networks for reduced-order models
Data-driven discovery is revolutionizing how we model, predict, and control complex systems. Now with Python and MATLAB®, this textbook trains mathematical scientists and engineers for the next generation of scientific discovery by offering a broad overview of the growing intersection of data-driven methods, machine learning, applied optimization, and classical fields of engineering mathematics and mathematical physics. With a focus on integrating dynamical systems modeling and control with modern methods in applied machine learning, this text includes methods that were chosen for their relevance, simplicity, and generality. Topics range from introductory to research-level material, making it accessible to advanced undergraduate and beginning graduate students from the engineering and physical sciences. The second edition features new chapters on reinforcement learning and physics-informed machine learning, significant new sections throughout, and chapter exercises. Online supplementary material - including lecture videos per section, homeworks, data, and code in MATLAB®, Python, Julia, and R - available on databookuw.com.

[@erockromulan9329]

This is one of my favorite books! The way you couple the material in the book with your KZbin video series is impeccable. It makes learning these new topics very easy to follow and understand. Thanks for all you do, Steve and Nathan!!

[@chrisguiney4568]

"not just computer scientists, but *real* engineers"...I burst out laughing 😂 Thanks for making it both available and accessible

[@mohammedazeem3303]

No words would do justice to describe the contribution you guys are doing to the Data Science community. Hats off. We all realize your efforts & hope to utlize the available resources to the best. Thanks for all the efforts.

[@borgesnotes]

Thank you for your generosity. I'm planning to revisit my knowledge of AI and delve into new concepts about CFD with this book. I'll share more details on my blog as I progress through the chapters. Thanks again 🙏

[@johnyoungquist6540]

I watch all your videos. Having not been a math class for fifty+ years I wish I could say I understood them all. I downloaded your book so I can read it today and paused the video to order one right away. I wish I had professors like you when I was in school. One professor I had didn't show up for the first 4 lectures. I didn't show for the fifth. he did. I showed up for the sixth he didn't. I never met the man.

[@huyvuquang2041]

You're really an angel. Willingly publishing your book for free with dedicated, well designed knowledge. Words cannot describe how much I appreciate your works.

[@punditgi]

Great way to spread the knowledge we all need to have! 😊🎉

[@lello.4925]

I discovered you last year with the Differential equations playlist, though I was taking cal-1 then, listening to you teach (stuff that I didn't know yet, then) was just amazing. I'm glad I'm still sticking around here. Keep doing what you're doing good sir.

[@nettrixta1970]

Thank you Prof Brunton and Prof Kutz, will definitely be purchasing this. Your tireless efforts and contributions to learners are absolutely appreciated.

[@oleksandr293]

Thank you for your enlightening lectures, for your and Prof Kutz effort and for sharing this book! Thank you so much!

[@user-wc7em8kf9d]

Thank you 1000 times Steven and Nathan . I'll buy the book since you made your lessons available to everyone and you posted the book. Amazing content + generous attitude=🙏

[@FilipePereira79]

Thank you for the dedication and enthusiasm in teaching these very important topics. It's absolutely amazing!

[@mashukdaiyan7421]

Thank you so very much for the updated version Professor Brunton, these new topics are exactly what I was planning to revise for my current research interest.

[@yuanhu6031]

Hi Steve, I am very grateful for you and Nathan to put tons of effort into this, and share it for free just to promote these knowledges. My current work has been benefited by several of your videos, and I will definitely go through this new book. Thanks again! This is a great channel.

[@EngineeringChampion]

Hey Steve! I love your lecture series. I watched some of your videos two years ago and I am revisiting some of them again. You are a great teacher! Keep it up!

[@cloudsky2429]

I don't know how I would learn anything on all these different subjects without your lectures. Thanks a lot !!. I really hope you will keep up the wonderful job.

[@sebastianrada4107]

This is pretty much what I need right now and the fact that you have videos explaining the topics makes it even better. Thanks a lot, hope one day I can be such a good Professor as you are.

[@CascaGrossaSuprema]

Brunton, you are amazing! Your work is sensational and inspiring. Thank you so much for your huge contributions, books and amazing classes.

[@tendurrr]

Oh my. THANK YOU SO MUCCHH for all of your efforts for making this book. I'm still a student in Computer Engineering but seeing this stuff just gets me excited!! I'm definitely learning this field, Tysm for making it available for everyone!!! We're really not that well off so I really appreciate and super grateful of you guys giving out so much knowledge FOR FREE!!

[@rudypieplenbosch6752]

Wow this is a great gift to the community, thanks Steve for your hard work, amazing. I already watched most of your amazing lectures, learned a lot.

[@motbus3]

Congratulations for the new edition! I am not a student anymore so I peek the first edition now and I only lament I don't have the time and energy I had before. Certainly one of the most interesting books I ever had

[@antoninperonnet6138]

Incredible work: not just a book, not just a video series, not just a course: a full suite to understand machine learning 😃😃😃

[@tcthebeast3804]

Wow! You made the PDF freely available. Thank you!

[@leoq6081]

Thank you professor for the book and all the efforts you have put in. Excited to read it.

[@siarez]

You are doing humanity an incredible service! I can't think of a better educator. Amazing job.

[@jonathandonda2700]

Discovering this book at such moment, I think this is one of the best days of my life. Thank you.

[@uzorani]

Wowza! Already printed out chapter one to go over it next week. The rest shall follow. Looking forward to practicing with this new edition. THANKS A MILLION for making this available!

[@PaulA-kr1nl]

Simply the best book and videos. There are some people who want to do good and you and Nathan are among them. Thank you so much!

[@pavodindoyi3415]

Thank you Professor Steve Brunton for your amazing work. Thanks to your book and online content, I have been learning so much in dynamical systems. This is the true meaning of knowledge is power.

[@nicolasveyrat-charvillon6686]

Thank you so much. I have a copy of the first edition, and having access to the second edition is great ! Both your channels are really valuable addition to the book as well.

[@andreizelenco4164]

Thank you so much for your extraordinary body of work! You are very inspiring! I come from and arts background and I admit that it is very challenging for me to have a deep understanding of the topics you discuss on your channel. But despite all the challenges and headaches, your work is really beautiful and inspiring. Thank you!

[@paaabl0.]

Awesome! Thank you for this contribution and sharing your knowledge! As someone who was enjoying your online lectures and read quite a bit books out there, I believe this position is something that we all were missing.

[@ErikTheViking92]

A new chapter concerning Reinforcement Learning. Videos for every Section. These two alone sold it to me. "Shut up and take my money" - Will definitely purchase this book! Thank you so much for all your efforts. Many (future) engineers will highly appreciate this new volume, I'm sure!

[@fireemblem2770]

This is yet another amazing work of yours that you have shared with the world for free, and I could not be more thankful.

[@user-ms5te5vd1x]

I am so motivated to see scholars like you. Thank you.

[@denm8991]

Just bought the hard copy Steven. Amazing book ! Keep up the great work with Nathan! Now I am looking forward into reading the whole book and learn all the techniques

[@zichenwang8068]

I love you, Professor Steve and Professor Nathan. Thank you so much! Your lectures help me a lot.

[@lula5425]

Congratulation Prof and Thank you very much for the things you keep doing for the science community and Thank you for the book.

[@somechad3682]

Congratulations professor! Data science is my favourite subject, and I am so glad you published a book on this fantastic subject. I will gladly buy the book the first chance I get.

[@21morpha]

"hopefully in a way that helps you understand the material", says the greatest professor of all time about the greatest youtube channel of all time.

[@heyman620]

You are a great person. Thank you so much for your efforts!

[@faisalalbasu2591]

Currently reading the first edition, I can't wait to dig in to the second edition. Thank you for this!

[@mikemacdonald2094]

Congratulations! I just ordered my copy. Thanks for your work.

[@user-bz9ek3pk6o]

wow, free book!!!!!!!!!!!. You are the best Tutor on Procedural Machine Learning and its Apps.

[@treelight1707]

Great News! I downloaded the book, and reading through the chapter on FFT. Thanks a ton, the effort put into it is obvious.

[@jeroendebest1711]

Many congratulations on your new edition of the book! Bought the previous one. Already a remarkable piece of artwork. The new one is probably even more exciting. Now doubting whether I should have them side by side on my bookshelf...

[@user-yb3ud3vg4j]

Thank you for your excellent book and the videos that are equally useful! Your work is appreciated and I bought the book to support you and because it is just incredibly well written.

[@andy1shi]

Thank You for sharing all this knowledge for free! I learn a lot from your book and the KZbin videos.

[@JoelRosenfeld]

I was happy to pick up my second edition a few months ago :) It’s a great book, and I’ll probably be using it for my course in the Fall. Thank again for the acknowledgment in the preface!

[@georgepb4703]

Thank you for doing what you do ! You inspired me to study control engineering and I am loving it !

[@ns2191]

Thank you so much, Edition 1 is already the masterpiece

[@TrackballClick]

When I saw the notification about this video, I've got frightened. Not so far ago I bought and now again a version, I was asking myself. I had to go to check in my shelf and I get reassured. I have this second edition. Definitively a great book!

[@Eta_Carinae__]

Hey Steve and Nathan. I just thought to let you know that I've been using the book for about a year now. The dual video-tutorial/PDF aspect really works for me, and it's been a great runoff resource for a post-calculus and post-linear-algebra education, plus it hits on alot of my interests (dynamical systems, ML, etc.). Full transparency: I'm on a mission to properly understand a talk given by R. Wallace from Columbia on the Mathematical Consciousness Science channel, so I am looking for topics referenced there. Likely some, like statistical mechanics, you might think are inappropriate (though I've seen alot of very interesting stat. phys. of thing like infinite width neural nets. equivalence with Gaussian processes for example), but maybe topics in information theory and network theory (thinking shannon coding, rate-distortion and data-rate theorems). Thanks for all you and Nathan have vested in producing the book, it's been very helpful.

[@abdelhak.keddouda]

Congratulations professor, really useful, I already found myself citing the first edition in my papers, definitely will do the same with this edition, Best of luck.

[@hubstrangers3450]

Thank You and Congrats for the prof and team, the coding modification with different platforms (C++, etc), certainly a thoughtful and sound addition, all what it needs is addition of the outputs of communication with modern ML bot models out there.....Thanks again...

[@jim8730]

Thank you so much for making these amazing learning materials available.

[@TotonZx]

One of my favorite books so far, it really helps me to understand things from another perspective!

[@edleahey2791]

You are uniquely positioned to make an impact in fields totally outside your own. The passion you display, and hyperlinking your ideas so a student can build one concept upon another i think could appeal to researchers in the soft sciences. Exposing these modeling ideas to researchers for example in immunology,oncology or cardiovascular research areas may bring fresh insights into their own mechanisms of discovery.

[@onurkurum]

This is one of the biggest open source contributions ever made to curious scientists, engineers, students, life time learners

[@shilpikumari6272]

Thank you professor for being kind and generous ❤

[@brandontay2053]

Thanks for making such great educational material and knowledge free for all!

[@MusicEngineeer]

Amazing! Much thanks for making a free download available!

[@CaleMcCollough]

This book is awesome! Thank you very much for the pdf! I'm very grateful. I will learn this.

[@Olejo111]

Wow! Thank you Steve for your great contribution. It seems amazing book for those has an engineering background and would like to study new technologies!

[@edgarromeroherrera2886]

You and your team are the best!!!! not enough words to thank you guys. This that you are doing for science and engineering is unvaluable

[@Eigensteve]

Thank you for your kind words :)

[@scraps7624]

You guys do amazing work, congratulations on the new edition!

[@RogerTerrill]

You guys are great - thanks so much for sharing your knowledge and passion!

[@En1Gm4A]

thx for makeing it free for everyone - great work !!

[@MrNitKap]

Very grateful for this video and this book. This years admission results for admission to the Indian Institute of Technology(IIT) just got announced few days back. As an IIT engineer we were discussing this in our WhatsApp group and also what engineering branch would my nephew get admission to in the IITs(based on his rank/score)… and the predominant thinking is only Computer Science matters and I was arguing that every engineering discipline now needs to be Data/ML/AI driven … and then this popped up. (My batchmate from my Bachelor in Technology in Metallurgy is now a professor and I keep telling him his Metallurgy/Material Science department has to include more of these courses)

[@Thepineapplemonk]

Loved the first edition and looking forward to getting back into this great topic!

[@mohammednimir1478]

Impressive work! Thanks a lot Prof Brunton.

[@JAYasankarPillai7]

Thanks a lot Prof. You are one of my favorite Prof.

[@wrightwalker3241]

Impressive work! Thanks a lot.

[@RooftopDuvet]

Your's and Nathan's book and videos have brought me enormous pleasure over the last couple of years, so I've happily just placed an order for the hardcover edition. Thanks again. In terms of stuff that would be good for a third edition.... this might be more of a fourth-edition target, but... there's some numerical analysis stuff on Nathan's channel which is aligned with Trefethen's book. Things like the Rayleigh Quotient, and Arnoldi Iteration, i.e. numerical approaches to solving eignenvalue problems. Understanding that stuff really tied a lot of things together in my head. As a physics graduate-turned-software-engineer, for me, the core value of your's and Nathan's work has been to make the kinds of topics you usually learn in an abstract setting computationally realisable. So something in that direction might be really valuable.

[@gabrieltan7872]

Thank you so much for releasing this!

[@SoyIQ]

Muchas gracias por este aporte, la edición anterior ha sido uno de mis libros favoritos y me ayudó mucho en mi doctorado, gracias!!!!!

[@sohybali2696]

Congratulations for the new edition🎉

[@sohailtabarhossain6096]

Congratulations 🎊 and, thank you dear Professor Brunton

[@ayuanyang3092]

congrats! It is one of the most inspiring books I have read when I was a graduate student

[@ARHillBombers]

Hey Steve, just bought the hardcover and incredibly excited to get into the material. I’m a rising engineer at MathWorks with a background in Mechanical Engineering and Computer Science and my main interest is the intersection of controls and machine learning. Thanks for the work of putting together the 2nd edition!

[@FaberFedor]

So what _is_ the intersection of controls and ML? Asking for a friend.

[@dilshanchrishantha6548]

thanks for the information. cangrats for the 2nd edition.content is super clear and well guided tutorial series.

[@alanliu526]

Thank you so much Steve for the new edition. I am very exited about it! As an economist, I think these tools have the potential to be applied to economics as well. BTW, do you plan to make video tutorials on reinforcement learning as well? I am very looking forward.

[@kelechiokorie]

Thank you professor, for the good work you're doing

[@aditya_a]

Oh my GOD. This is so awesome, I want to just drop everything and read this book

[@youseftraveller2546]

Thank you so much for both of you!

[@athelstanrex]

No words to describe how happy I am about this textbook, holy.

[@CTSSHAH]

1st edition was amazing, can't wait to read this as a second pass

[@johndewey7243]

So wonderful! The future thanks you both.

[@StEvUgnIn]

You know the book explains how to compress data. It could weigh less than 100MB for next edition. Thank you so much, sir.

[@fabiofarina9579]

Wow! this is a great news. Thanks for sharing such a precious work with us. About 3rd Ed. I think that attention based neural models will have a deep impact also in engineering ML, going beyond the RNN models

[@TheKingSpeaks]

Your Work Is really GREAT Sir. Thank you for all.

[@edisonj5335]

My favorite book!! Thank you sir!

[@nias2631]

Ty for the Python overhaul (and the link)! I will be doing some reading this week.

[@churant2835]

Thank you for you,your excellent masterpiece is nice for me , you are a great teacher more than who I met with , I apperacite you!

[@arifulmashud6407]

Thank you sir so much for providing such good materials.....I really appreciate the effort!!

[@_diversable_]

Thanks for all yourr hard work! In the next edition of the book, would you consider building in examples with Julia along with Python? Julia has a great ecosystem for ML & dynamical systems, and Julia syntax is much closer to the math than Python syntax...

[@apachaves]

Awesome work as always. Thank you for that!

[@vinayshukla1564]

Thankyou so much Sir for sharing such valuable videos, Your video on FFT helped me a lot🙏

[@karunamudliyar5625]

So nice of you. Thanks a lot.

[@ilyamanyakin8241]

Awesome! Thanks for the work!