📊 Decode Data Like a Pro with Strang’s Definitive Guide!
‘Linear Algebra And Learning From Data’ by Prof. Gilbert Strang is a highly acclaimed textbook blending foundational linear algebra with modern data science applications. Weighing 930 grams, this premium hardcover edition is a top-ranked resource in Computer Science and Mathematics, boasting a 4.6-star rating from over 250 readers. Ideal for professionals and students aiming to master data-driven problem solving.
| Best Sellers Rank | #140,646 in Books ( See Top 100 in Books ) #904 in Computer Science #1,623 in Mathematics #13,510 in Higher & Continuing Education Textbooks |
| Customer Reviews | 4.6 out of 5 stars 257 Reviews |
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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