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Approaching machine learning problems in computational fluid dynamics and computer aided engineering applications: A Monograph for Beginners Paperback – 26 maart 2024

Engelstalige uitgave Dr. Justin Hodges (auteur)
4,2 van 5 sterren 59 beoordelingen
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Aankoopopties en uitbreidingen

This is not a traditional book.
This is a monograph; a practical guide and crash- course to enable mechanical and aerospace engineers to complete machine learning projects on simulation data, from start to finish.

Read More:
  • 20 reviews on LinkedIn in first 2 weeks of launch: https://tinyurl.com/JustinHodges777
  • Table of Contents shown on Amazon page in web browser

Who this book is for: If you are interested in ML for CFD/FEA/CAE, it's probably a fit for you. This is an abstraction of experiences into a practical guide to get CFD/CAE practitioners more comfortable in machine learning projects. After hundreds of requests for support, I felt the conviction to set aside my nights for 6 months and produce this book as a more scalable means to help.

This book has a lot of (easy to understand) code (not shareable on Github). There is an abundance of resources that cover theoretical knowledge of machine learning in ‘the mainstream’, but relatively little by comparison for CAE applications (especially few that are hands-on). My hope is that the reader already has some (very minimal) theoretical knowledge when they pick this book up. There will be some explanation on the algorithms with examples (in Python), and some degree of surveying/summarizing popular ones, but the primary focus is how and what you should do to solve machine learning problems. This is what I refer to as the pipeline of steps from start to finish in a machine learning project, which seems to have a steep learning curve (my motivation for writing this book). This book will also share my recommended learning pathway for CFD/CAE engineers to develop their AI/ML skills and portfolios and is great for beginners.

I am a fan of the ‘code along’ approach and take that to heart in this book. I recommend reading the book while logged into a computer where you can code.

"As an AI researcher and engineer; this book must be a daily handbook for preparing a fast-changing, data-driven industry innovation for me and my collogues" - Seungkyun Hong, AI Engineering Leader @MZC, PhD in Computer Science

"The book is very well structured, containing informative explanations, especially for beginners in the field. It covers the main steps of ML projects for CFD and CEA applications with some helpful examples" - Dr. Charbel Habchi, Mechanics and Thermal Hydraulics Analysis Engineer, R&D, Framatome

"I believe that my long time friend and colleague Justin Hodges, PhD has made a significant contribution in this area. No wonder it is already a best seller on Amazon." - Dr. Shinjan Ghosh, Research Scientist, Siemens

"This is the perfect guide to integrating AI and ML into your CAE or CFD simulations with Justin Hodges latest book, tailored for CAE engineering looking to expand their skills" - Rajat Walia, CFD Engineer (Aero Thermal), Mercedes-Benz Research and Development

About the Author: While I grew up in a turbomachinery lab characterizing heat transfer, fluid mechanics, and turbulence in gas turbine secondary flow systems in graduate school, I fell in love with artificial intelligence in 2017 working on a project that combined computational fluid dynamics simulations and machine learning during an internship with the Siemens Healthineers in Princeton NJ. Ever since, I have sought to maintain my career direction (mechanical and aerospace engineering applications) but incorporate machine learning and data science as a means to augment our numerical methods in engineering.
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  1. Printlengte
    168 pagina's
  2. Taal
    Engels
  3. Publicatiedatum
    26 maart 2024
  4. Afmetingen
    15.24 x 0.97 x 22.86 cm
  5. ISBN-13
    979-8878702317
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Productgegevens

  • ASIN ‏ : ‎ B0CZF4YN31
  • Uitgever ‏ : ‎ Independently published
  • Publicatiedatum ‏ : ‎ 26 maart 2024
  • Taal ‏ : ‎ Engels
  • Printlengte ‏ : ‎ 168 pagina's
  • ISBN-13 ‏ : ‎ 979-8878702317
  • Gewicht van item ‏ : ‎ 313 g
  • Afmetingen ‏ : ‎ 15.24 x 0.97 x 22.86 cm
  • Plaats in bestsellerlijst: #107.035 in Boeken (Top 100 in Boeken bekijken)
  • Klantenrecensies:
    4,2 van 5 sterren 59 beoordelingen

Klantenrecensies

4,2 van 5 sterren
59 wereldwijde beoordelingen

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Vertaal alle beoordelingen naar het Nederlands
  • M. Zastawny
    5,0 van 5 sterren A great resource to understand machine learning
    Beoordeeld in het Verenigd Koninkrijk op 20 juni 2024
    Formaat: PaperbackGeverifieerde aankoop
    The book is a great introduction to the subject of AI for engineers
    Melden
  • Alberto Luzio
    3,0 van 5 sterren Colours are not present in CFD images and plots
    Beoordeeld in Italië op 27 januari 2025
    Formaat: PaperbackGeverifieerde aankoop
    Colours are not present in CFD images and plots. It causes misinterpretation of the informations.
    Melden
  • Rafael Cabral de Moura
    2,0 van 5 sterren Disapointed
    Beoordeeld in Brazilië op 28 augustus 2025
    Formaat: PaperbackGeverifieerde aankoop
    It is a very basic book. Shows some concepts and make some links with CFD.
    Melden
  • Amazon Customer
    2,0 van 5 sterren At best a draft of a book! not worth the money!
    Beoordeeld in Canada op 5 augustus 2025
    Formaat: PaperbackGeverifieerde aankoop
    There are some useful information in this book hence why I did not give it a single star. But to me it is absolutely unacceptable the author would think it is at an appropriate standard for publishing. At best this is an unedited first draft! The grammar is terrible, the writing style is hard to follow with lots of long sentences and repetitions. The explanations are vague in many places. The images are of very poor quality, very grainy, many with text that is unreadable. And I mean black and white for a book on CFD? that's laughable, especially when the author specifically mentions colors on the figure. Shame this could have been an interesting book. but I'll be sending it back!
    Melden
  • Victorien
    5,0 van 5 sterren A great book to learn about ML in CAE
    Beoordeeld in Frankrijk op 4 juni 2024
    Formaat: PaperbackGeverifieerde aankoop
    As a CFD engineer, I bought this book to get a deeper understanding on the application of ML to fluid mechanics problems. This book is full of relevant examples and easy to follow, while providing the reader with a lot of references for further research. I recommend it :)
    Melden