Wellesley-Cambridge Press – förlag

Visar alla produkter från förlaget Wellesley-Cambridge Press. Handla med fri frakt och snabb leverans.

2 produkter

Kategorier

2 produkter

Linear Algebra and Learning from Data
AvGilbert Strang
Inbunden, Engelska, 2019
5,0 utav 5 stjärnor. Totalt antal röster:(1)
1 064 kr
Skickas
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.
Wavelets and Filter Banks
AvGilbert Strang,Truong Nguyen
Inbunden, Engelska, 1996
941 kr
Tillfälligt slut
This book explains wavelets to both engineers and mathematicians. It approaches the subject with a major emphasis on the filter structures attached to wavelets. Those filters are the key to algorithmic efficiency and they are well developed throughout signal processing. Now they make possible major achievements in data analysis and compression. The explanations of difficult topics are direct, rigorous and very approachable. Many practical applications are discussed. The book is ideal as an introduction to the principles of wavelets and as a reference for the analysis and applications. Also included in Wavelets and Filter Banks are many examples to make effective use of the MATLAB Wavelet Toolbox.

Wellesley-Cambridge Press – förlag

Visar alla produkter från förlaget Wellesley-Cambridge Press. Handla med fri frakt och snabb leverans.

2 produkter

Kategorier

2 produkter

Linear Algebra and Learning from Data
AvGilbert Strang
Inbunden, Engelska, 2019
5,0 utav 5 stjärnor. Totalt antal röster:(1)
1 064 kr
Skickas
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.
Wavelets and Filter Banks
AvGilbert Strang,Truong Nguyen
Inbunden, Engelska, 1996
941 kr
Tillfälligt slut
This book explains wavelets to both engineers and mathematicians. It approaches the subject with a major emphasis on the filter structures attached to wavelets. Those filters are the key to algorithmic efficiency and they are well developed throughout signal processing. Now they make possible major achievements in data analysis and compression. The explanations of difficult topics are direct, rigorous and very approachable. Many practical applications are discussed. The book is ideal as an introduction to the principles of wavelets and as a reference for the analysis and applications. Also included in Wavelets and Filter Banks are many examples to make effective use of the MATLAB Wavelet Toolbox.

Wellesley-Cambridge Press – förlag

Linear Algebra and Learning from Data

Wavelets and Filter Banks

Wellesley-Cambridge Press – förlag

Linear Algebra and Learning from Data

Wavelets and Filter Banks