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Linear Algebra and Learning from Data

4

337.45  Lei 374.94  Lei

sau 33745 de puncte. Detalii.

Livrare in 25 zile lucratoare

Cod: BRT9780692196380

An aparitie: 2019

Autor: Gilbert Strang

Categoria: Maths

Categoria: General

Editie: Hardcover

Editura: Wellesley College

Format: 242 x 196 x 25 mm

Limba: English

Nr. pagini: 446



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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 marices, large matrix computation techniques, compressed sensing, probability and statistics, optimization, the architecture of neural nets, stochastic gradient descent and backpropagation.

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