Linear Algebra and Learning from Data
Product ID: 233235197
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Linear algebra and the foundations of deep learning, together at last! From Professor Gilbert Strang, acclaimed author of Introduction to Linear Algebra, comes Linear Algebra and Learning from Data, the first textbook that teaches linear algebra together with deep learning and neural nets. This readable yet rigorous textbook contains a complete course in the linear algebra and related mathematics that students need to know to get to grips with learning from data. Included are: the four fundamental subspaces, singular value decompositions, special matrices, large matrix computation techniques, compressed sensing, probability and statistics, optimization, the architecture of neural nets, stochastic gradient descent and backpropagation. Review: Great book - Arrived in mint condition. Printing is good too. Content covers basics of linear algebra then moves to application of it. All the lecture material is available at MIT OCW 18.065 Review: Best! - Timely delivery, nice packaging and binding. As far as the content goes, Prof Strang has created another masterpiece. The missing topics from his "Linear algebra and its applications" book have been added in this book; e.g l1 and l2 regularization, matrix inversion lemma,kronecker product, discussion on random vectors etc. Thanks desertcart for bringing this piece of art at a reasonably low price (being hardcover).
| Customer Reviews | 4.5 out of 5 stars 263 Reviews |
A**R
Great book
Arrived in mint condition. Printing is good too. Content covers basics of linear algebra then moves to application of it. All the lecture material is available at MIT OCW 18.065
D**A
Best!
Timely delivery, nice packaging and binding. As far as the content goes, Prof Strang has created another masterpiece. The missing topics from his "Linear algebra and its applications" book have been added in this book; e.g l1 and l2 regularization, matrix inversion lemma,kronecker product, discussion on random vectors etc. Thanks amazon for bringing this piece of art at a reasonably low price (being hardcover).
G**R
Faulty binding
The pages were good but the binding was faulty right from the time it was delivered. More care could have been taken so that this was avoided. Other than that the product was good.
S**N
Worth the price
Expensive but good relevant content.
M**N
Master piece
Good thick paper quality
G**H
got in good condition
Good
G**M
The clear Algebra
Well done, very clear and explain in details .
S**E
Any book by Prof Strang, is a book worth owning.
Any book by Prof Strang, is a book worth owning. If you have an interest in an area of study that Prof Strang has written a textbook about, just buy his book and learn it cold. 'Linear Algebra and Learning from Data' is another ringer.
R**.
Clear on the Linear Algebra and focused on data science applications
Gilbert Strang, well known MIT professor and author, writes another book on Linear algebra. He put a lot of effort into making the material accessible and not assuming a background in linear algebra (matrices) so aimed at beginners. There is a bit of 'personal commentary' added to the text that is trying to make the public comfortable that wouldn't normally be in a text book but doesn't bother me much here. The added focus is on applications to Machine learning and other data extraction so it focuses on linear algebra that are useful for that purpose and how they are useful.
G**.
Uno dei migliori libri di G. Strang
Il miglior libro sulle applicazioni dell’Algebra Lineare alla data science
A**I
Abre muitas perspectivas, em termos de pesquisa, nos dois assuntos
Uso esse produto em minhas pesquisas acadêmicas.
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