Refresh Your Home For Fall
Buy New
To see product details, add this item to your cart.
Ships from: textbooks_source
Sold by: textbooks_source
To see product details, add this item to your cart. You can always remove it later.
Shipper / Seller
textbooks_source
textbooks_source
Shipper / Seller
textbooks_source
Returns
30-day refund/replacement
30-day refund/replacement
This item can be returned in its original condition for a full refund or replacement within 30 days of receipt. You may receive a partial or no refund on used, damaged or materially different returns.
Read full return policy
Payment
Secure transaction
Your transaction is secure
We work hard to protect your security and privacy. Our payment security system encrypts your information during transmission. We don’t share your credit card details with third-party sellers, and we don’t sell your information to others. Learn more
To see product details, add this item to your cart. You can always remove it later.
Shipper / Seller
Amazon.com
Amazon.com
Shipper / Seller
Amazon.com
Returns
30-day refund / replacement
30-day refund / replacement
This item can be returned in its original condition for a full refund or replacement within 30 days of receipt.
Read full return policy
Payment
Secure transaction
Your transaction is secure
We work hard to protect your security and privacy. Our payment security system encrypts your information during transmission. We don’t share your credit card details with third-party sellers, and we don’t sell your information to others. Learn more
Gift options
Available at checkout
Available at checkout This item is a gift. Change
At checkout, you can add a custom message, a gift receipt for easy returns and have the item gift-wrapped
Support
Product support included
What's Product Support?
In the event your product doesn't work as expected or you need help using it, Amazon offers free product support options such as live phone/chat with an Amazon associate, manufacturer contact information, step-by-step troubleshooting guides, and help videos. By solving product issues, we help the planet by extending the life of products. Availability of support options differ by product and country. Learn more
To see product details, add this item to your cart. You can always remove it later.
Crisp, clean pages with no marks or folds - feels new. ~ BooksRun: cheaper books, every time! Crisp, clean pages with no marks or folds - feels new. ~ BooksRun: cheaper books, every time! See less
Access codes and supplements are not guaranteed with used items.
Ships from and sold by BooksRun.
Added to

Sorry, there was a problem.

There was an error retrieving your Wish Lists. Please try again.

Sorry, there was a problem.

List unavailable.
Kindle app logo image

Download the free Kindle app and start reading Kindle books instantly on your smartphone, tablet, or computer - no Kindle device required.

Read instantly on your browser with Kindle for Web.

Using your mobile phone camera - scan the code below and download the Kindle app.

QR code to download the Kindle App

  • Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control

Follow the authors

Get new release updates & improved recommendations
Jose Nathan Kutz
Follow
Steven L. Brunton
Follow
Something went wrong. Please try your request again later.

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

by Steven L. Brunton (Author), J. Nathan Kutz (Author) Format: Hardcover
4.8 out of 5 stars (154)

Purchase options and add-ons

Data driven discovery is revolutionizing how we model, predict. 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. 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. 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. chapter exercises. Online supplementary material including lecture videos per section, homeworks, data. code in MATLAB®, Python, Julia. R available on databookuw.com.
Read more
Previous slide of product details
  1. ISBN-10
    1009098489
  2. ISBN-13
    978-1009098489
  3. Edition
    2nd
  4. Publisher
    Cambridge University Press
  5. Publication date
    July 28, 2022
  6. Language
    English
  7. Dimensions
    7 x 1.25 x 10 inches
  8. Print length
    614 pages
Next slide of product details

Frequently bought together

This item: Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control
$59.69
Get it as soon as Tuesday, Sep 22
Only 1 left in stock - order soon.
Sold by Apex_media🍏 and ships from Amazon Fulfillment.
+
Optimization: A Bootcamp for Machine Learning, Inverse Problems, and Control
$63.86
Get it as soon as Sunday, Sep 20
In Stock
Ships from and sold by Amazon.com.
+
Data-Driven Fluid Mechanics: Combining First Principles and Machine Learning
$47.91
Get it as soon as Monday, Sep 21
Only 1 left in stock - order soon.
Sold by Apex_media🍏 and ships from Amazon Fulfillment.
Total price: $00
To see our price, add these items to your cart.
Details
Added to Cart
Some of these items ship sooner than the others.
Show details Hide details
Choose items to buy together.

Customers also bought or read

Page 1 of 1Start over
Previous page
  1. Book cover Optimization: A Bootcamp for Machine Learning, Inverse Problems, and Control
    Optimization: A Bootcamp for Machine Learning, Inverse Problems, and Control
    Just released
    Hardcover
    $63.86
    FREE delivery Sun, Sep 20
  2. Book cover Deep Learning: Foundations and Concepts
    Deep Learning: Foundations and Concepts
    Hardcover
    $50.43
    FREE delivery Sep 24 - 25
  4. Book cover Linear Algebra and Learning from Data
    Linear Algebra and Learning from Data
    Hardcover
    $88.00
    FREE delivery Oct 3 - 6
  5. Book cover Deep Learning (Adaptive Computation and Machine Learning series)
    Deep Learning (Adaptive Computation and Machine Learning series)
    Hardcover
    $51.51
    FREE delivery Sun, Sep 20
  9. Book cover Dive into Deep Learning
    Dive into Deep Learning
    Paperback
    $29.99
    Delivery Mon, Sep 21
  14. Book cover Mathematics for Machine Learning
    Mathematics for Machine Learning
    Paperback
    $51.44
    FREE delivery Mon, Sep 21
  16. Book cover Understanding Deep Learning
    Understanding Deep Learning
    Hardcover
    $96.30
    FREE delivery Mon, Sep 21
  23. Book cover Algorithms for Decision Making
    Algorithms for Decision Making
    Hardcover
    $82.74
    FREE delivery Tue, Sep 22
  24. Book cover Information Theory, Inference and Learning Algorithms
    Information Theory, Inference and Learning Algorithms
    Paperback
    $76.29
    FREE delivery Mon, Sep 21
  26. Book cover Numerical Recipes 3rd Edition: The Art of Scientific Computing
    Numerical Recipes 3rd Edition: The Art of Scientific Computing
    Hardcover
    $77.49
    FREE delivery Mon, Sep 21
  27. Book cover Numerical Linear Algebra: Twenty-Fifth Anniversary Edition
    Numerical Linear Algebra: Twenty-Fifth Anniversary Edition
    Paperback
    $54.00
    FREE delivery Oct 16 - 30
Next page
Loading...

Editorial Reviews

Review

'Finally, a book that introduces data science in a context that will make any mechanical engineer feel comfortable. Data science is the new calculus, and no engineer should graduate without a thorough understanding of the topic.' Hod Lipson, Columbia University

'This book is a must-have for anyone interested in data-driven modeling and simulations. The readers as diverse as undergraduate STEM students and seasoned researchers would find it useful as a guide to this rapidly evolving field. Topics covered by the monograph include dimension reduction, machine learning, and robust control of dynamical systems with uncertain/random inputs. Every chapter contains codes and homework problems, which make this treaties ideal for the classroom setting. The book is supplemented with online lectures, which are not only educational but also entertaining to watch.' Daniel M. Tartakovsky, Stanford University

'Engineering principles will always be based on physics, and the models that underpin engineering will be derived from these physical laws. But in the future models based on relationships in large datasets will be as important and, when used alongside physics-based models, will lead to new insights and designs. Brunton and Kutz will equip students and practitioners with the tools they will need for this exciting future.' Greg Hyslop, Boeing

'Brunton and Kutz's book is fast becoming an indispensable resource for machine learning and data-driven learning in science and engineering. The second edition adds several timely topics in this lively field, including reinforcement learning and physics-informed machine learning. The text balances theoretical foundations and concrete examples with code, making it accessible and practical for students and practitioners alike.' Tim Colonius, California Institute of Technology

'This is a must read for those who are interested in understanding what machine learning can do for dynamical systems! Steve and Nathan have done an excellent job in bringing everyone up to speed to the modern application of machine learning on these complex dynamical systems.' Shirley Ho, Flatiron Institute/New York University

‘This is one of the best textbooks in the field. I am adopting it along with a data-driven fluid mechanics text.’ Kianoosh Yousefi, University of Texas at Dallas

Book Description

A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.

Product details

  • Publisher ‏ : ‎ Cambridge University Press
  • Publication date ‏ : ‎ July 28, 2022
  • Edition ‏ : ‎ 2nd
  • Language ‏ : ‎ English
  • Print length ‏ : ‎ 614 pages
  • ISBN-10 ‏ : ‎ 1009098489
  • ISBN-13 ‏ : ‎ 978-1009098489
  • Item Weight ‏ : ‎ 3.06 pounds
  • Dimensions ‏ : ‎ 7 x 1.25 x 10 inches
  • Best Sellers Rank: #79,411 in Books (See Top 100 in Books)
  • Customer Reviews:
    4.8 out of 5 stars (154)

About the authors

Follow authors to get new release updates, plus improved recommendations.
Previous page
  1. Jose Nathan Kutz

    Jose Nathan Kutz

    Brief content visible, double tap to read full content.
    Full content visible, double tap to read brief content.

    J. Nathan Kutz is the Robert Bolles and Yasuko Endo Professor of Applied Mathematics and Electrical and Computer Engineering at the University of Washington and Director of the NSF AI Institute in Dynamic Systems. He is also Adjunct Professor of Mechanical Engineering and Senior Data-Science Fellow at the eScience Institute. His research interests lie at the intersection of dynamical systems and machine learning.

    See more on the author's page
  2. Steven L. Brunton

    Steven L. Brunton

    Brief content visible, double tap to read full content.
    Full content visible, double tap to read brief content.

    Steven L. Brunton is the James B. Morrison Professor of Mechanical Engineering at the University of Washington. He is also Adjunct Professor of Applied Mathematics and Computer science, and a Data Science Fellow at the eScience Institute. Steve received the B.S. in mathematics from Caltech in 2006 and the Ph.D. in mechanical and aerospace engineering from Princeton in 2012. His research combines machine learning with dynamical systems to model and control systems in fluid dynamics, biolocomotion, optics, energy systems, and manufacturing. He received the Army and Air Force Young Investigator Program (YIP) awards and the Presidential Early Career Award for Scientists and Engineers (PECASE). Steve is also passionate about teaching math to engineers as co-author of three textbooks and through his popular YouTube channel, under the moniker “eigensteve” (youtube.com/c/eigensteve).

    See more on the author's page
Next page

Related books

Page 1 of 1Start Over
Sponsored
Previous page
  1. Shop the Store on Amazon ›
    AI IN BUSINESS - AN EXECUTIVE GUIDE FOR BEGINNERS: Leverage Artificial Intelligence to Simplify Automation, Improve Data-Driven Decisions, Maximize ROI and Elevate Customer Experience
    AI IN BUSINESS - AN EXECUTIVE GUIDE FOR BEGINNERS: Leverage Artificial Intelligence to Simplify Automation, Improve Data-Driven Decisions, Maximize ROI and Elevate Customer Experience
    4.74.7 out of 5 stars32
    $16.99
  2. Shop the Store on Amazon ›
    Python Programming for Beginners: The Complete Python Coding Crash Course - Boost Your Growth with an Innovative Ultra-Fast Learning Framework and Exclusive Hands-On Interactive Exercises & Projects
    Python Programming for Beginners: The Complete Python Coding Crash Course - Boost Your Growth with an Innovative Ultra-Fast Learning Framework and Exclusive Hands-On Interactive Exercises & Projects
    4.54.5 out of 5 stars1,011
    $24.90
  3. Shop the Store on Amazon ›
    Profit-Driven Digital Marketing: How to cut costs, save time and make more money for your business
    Profit-Driven Digital Marketing: How to cut costs, save time and make more money for your business
    4.24.2 out of 5 stars24
    $21.52 List:$24.95
  4. Shop the Store on Amazon ›
    Step-by-Step Electrical Engineering: Learn and Apply Core Concepts Quickly. Build Your Knowledge with Practical Examples - No Background Required! Perfect for Aspiring Engineers and Enthusiasts!
    Step-by-Step Electrical Engineering: Learn and Apply Core Concepts Quickly. Build Your Knowledge with Practical Examples - No Background Required! Perfect for Aspiring Engineers and Enthusiasts!
    4.54.5 out of 5 stars367
    $19.99
  5. Shop the Store on Amazon ›
    50 Algorithms Every Programmer Should Know: Tackle computer science challenges with classic to modern algorithms in machine learning, software design, data systems, and cryptography
    50 Algorithms Every Programmer Should Know: Tackle computer science challenges with classic to modern algorithms in machine learning, software design, data systems, and cryptography
    4.74.7 out of 5 stars118
    $33.77 List:$49.99
Next page