Learn Tensor: 4 Books to Start With

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In summary, the speaker is a second or third year physics student looking to learn more about tensors for classical mechanics and general relativity. They are seeking recommendations for books and have been suggested "Geometrical Methods of Mathematical Physics" by Schutz, which appears to be a comprehensive resource on the topic. The speaker is considering purchasing the book and is seeking further advice and recommendations.
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Livethefire
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Im not sure why the learning materials section is blocked for me to post in, however:
I am stuck between these books:

https://www.amazon.com/dp/0486658406/?tag=pfamazon01-20

https://www.amazon.com/dp/0486640396/?tag=pfamazon01-20

https://www.amazon.com/dp/0486638332/?tag=pfamazon01-20

https://www.amazon.com/dp/048661879X/?tag=pfamazon01-20

I am a second, going on third your physics student who wants to learn tensors, they have only been mentioned in passing and I want to learn more to go over more detailed classical mechanics and general relativity. Any suggestions or recommendations would be greatly aprechiated.

Or indeed any other advice at all would be great.


Thank you.
 
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My recommendation would be "Geometrical Methods of Mathematical Physics" by Schutz.
 
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Hmm looking at the chapter headings that seems very comprehensive indeed. I guess searching for "tensors" and looking for things like that doesn't come up with everything haha.

I actually have

https://www.amazon.com/dp/0521679710/?tag=pfamazon01-20

Which of course is just an overview really, and it has some stuff on tensors but the book you recommend seems to fit nicely. I'll search that one up a bit more and await a few more replies before I jump and buy.

This may well be the best book in your opinion for this but do you think it would be the best for me- self study and haven't been exposed to tensors other than a passing mention?

Thanks again.
 
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What is "Learn Tensor: 4 Books to Start With"?

"Learn Tensor: 4 Books to Start With" is a collection of books that introduces readers to the basics of working with tensors, a type of data structure commonly used in machine learning and data analysis.

Who is this book collection intended for?

This book collection is intended for individuals who are interested in learning about tensors and their applications in data analysis and machine learning. It is suitable for beginners who have little to no prior knowledge of tensors.

What topics are covered in "Learn Tensor: 4 Books to Start With"?

"Learn Tensor: 4 Books to Start With" covers topics such as the basics of tensors, tensor operations, tensor decomposition, and applications of tensors in machine learning and data analysis.

Are there any prerequisites for reading this book collection?

While there are no strict prerequisites for reading "Learn Tensor: 4 Books to Start With", a basic understanding of linear algebra and calculus may be helpful. Familiarity with programming languages such as Python and Numpy is also beneficial.

How can reading "Learn Tensor: 4 Books to Start With" benefit me as a scientist?

As a scientist, learning about tensors can greatly benefit your work in data analysis and machine learning. Tensors are commonly used in these fields to represent and manipulate multi-dimensional data, making it easier to extract meaningful insights and patterns. Understanding tensors can also open up opportunities for you to work on more advanced topics in these areas.

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