Linear algebra and learning from data; Gilbert (massachusetts Institute Of Technology) Strang; 2019
endast ny

Linear algebra and learning from data

av Gilbert (massachusetts Institute Of Technology) Strang
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.
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.
Utgiven: 2019
ISBN: 9780692196380
Förlag: Cambridge University Press
Format: Inbunden
Språk: Engelska
Sidor: 431 st
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.
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.
Ny bok
793 kr834 kr
5% studentrabatt med Studentapan
Begagnad bok (0 st)

Om Linear algebra and learning from data (2019)

I januari 2019 släpptes boken Linear algebra and learning from data skriven av Gilbert (massachusetts Institute Of Technology) Strang. Den är skriven på engelska och består av 431 sidor djupgående information om data. Förlaget bakom boken är Cambridge University Press.

Köp boken Linear algebra and learning from data direkt från en annan student på Studentapan och spara pengar.

KurslitteraturITIT allmäntLinear algebra and learning from data
Bokens omdömen
Ingen har recenserat den här boken ännu.

Sälj vidare boken när du är klar

När du är klar med boken säljer du enkelt vidare och tjänar pengar på nolltid med Studentapan. Vi tar hand om allt det krångliga så att du får mer tid över till annat. På det sättet kan du tjäna tillbaka det mesta av kostnaden för boken.
Värdera & sälj böcker

Klimatsmart kurslitteratur

Bli en miljöhjälte under din studietid och ge dina gamla kursböcker ett nytt liv. Genom att återanvända dina kursböcker minskar du utsläppen av koldioxid (CO2) med hela 59%. För en psykologstudent skulle det innebära minskade CO2-utsläpp med cirka 240 kg under studietiden. En stor vinst för din plånbok och miljön. Det kallar vi klimatsmart kurslitteratur.

Liknande kurslitteratur

Ny bok
793 kr834 kr
5% studentrabatt med Studentapan
Begagnad bok (0 st)