Approaching machine learning problems in computational fluid dynamics and computer aided engineering applications: A Monograph for Beginners

This book maybe the best one I’ve ever read about how to apply AI/ML techniques to computer aided engineering. Like the author said, it’s not a book about the theory of machine learning, it’s about how. The book explains the process and steps to make machine learning useful for CAE engineers. Highly recommend reading this book!

The book is good for instructors and students with limited AI/ML experience, offering guidance on applying these techniques to CFD and CAE applications. This is a code-along book that eventually makes it possible for people who have CFD data at their disposal and use it for their projects. I hope that the next edition will provide color images and more improvements.

As someone who dove into the topic of ML for CAE applications without much guidance, it’s incredible to see the summary of applications Justin puts together in this book. While my focus was more on FEA, I gained some valuable insights into the different methodologies for applying ML to these difficult problems.

Interesting content, bad print quality. The smudged/faint/tiny figures make the book lose a lot of value. I would not buy this print version. I hope there is a digital copy.

Justin does a great job at introducing the different algorithms used in machine learning (ML) for computational fluid dynamics (CFD) by presenting how ML algorithms are currently being used in different areas of CFD. For those who want to dive deeper into ML for CFD he also provides invaluable references (datasets, youtube channels, and projects) on the internet as well as a recommended learning path.

I've been in the CAE space for 25 years. AI/ML stands to shake up the industry more than any other previous revolution. We hear about it on TV applied to all sorts of things. This book brings it home for CAE/CFD. It's a great resource for anyone in the field wanting to get started with AI/ML. While I'm not technical enough to understand all the coding involved, Hodges does a great job describing the important themes that need to be considered for a successful application of these methods for anyone.

The topics are very refreshing. If you are someone who already has a strong background in data science and machine learning, you can skim through the first couple of chapters and focus more on the later ones. The only drawback is that the images are not in color, which makes it difficult to understand certain sections of the book. The explanations and analogies are great, and the resources and references mentioned in this book are extremely valuable.

The book is a very plainly stated literal description of how ML works in aerospace. It's written in a way that is intentionally easy to grasp. But it is also a window into the authors own understanding of ML. So, if you are just learning, or you want to learn more from other experts in your field, the books is worth the money either way. I had never bought a print on demand book before either, but the book showed up in 2 days, and the printing looks good.

The book is a great introduction to the subject of AI for engineers

Colours are not present in CFD images and plots. It causes misinterpretation of the informations.

It is a very basic book. Shows some concepts and make some links with CFD.

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!

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 :)