First-order and Stochastic Optimization Methods for Machine Learning (Springer Series in the Data Sciences)
Lan, Guanghui
ISBN 10: 3030395677 ISBN 13: 9783030395674
Editore: Springer, 2020
Nuovi
Rilegato
Da
Ria Christie Collections, Uxbridge, Regno Unito
Valutazione del venditore 5 su 5 stelle
Venditore AbeBooks dal 25 marzo 2015
Questo articolo specifico non è più disponibile.
Riguardo questo articolo
Descrizione:
In. Codice articolo ria9783030395674_new
Riassunto:
This book covers not only foundational materials but also the most recent progresses made during the past few years on the area of machine learning algorithms. In spite of the intensive research and development in this area, there does not exist a systematic treatment to introduce the fundamental concepts and recent progresses on machine learning algorithms, especially on those based on stochastic optimization methods, randomized algorithms, nonconvex optimization, distributed and online learning, and projection free methods. This book will benefit the broad audience in the area of machine learning, artificial intelligence and mathematical programming community by presenting these recent developments in a tutorial style, starting from the basic building blocks to the most carefully designed and complicated algorithms for machine learning.
Dalla quarta di copertina:
This book covers not only foundational materials but also the most recent progresses made during the past few years on the area of machine learning algorithms. In spite of the intensive research and development in this area, there does not exist a systematic treatment to introduce the fundamental concepts and recent progresses on machine learning algorithms, especially on those based on stochastic optimization methods, randomized algorithms, nonconvex optimization, distributed and online learning, and projection free methods. This book will benefit the broad audience in the area of machine learning, artificial intelligence and mathematical programming community by presenting these recent developments in a tutorial style, starting from the basic building blocks to the most carefully designed and complicated algorithms for machine learning.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Dati bibliografici
Titolo: First-order and Stochastic Optimization ...
Casa editrice: Springer
Data di pubblicazione: 2020
Legatura: Rilegato
Condizione: New
I migliori risultati di ricerca su AbeBooks
Immagini fornite dal venditore
First-order and Stochastic Optimization Methods for Machine Learning
Editore:
Springer International Publishing Mai 2020, 2020
ISBN 10: 3030395677
ISBN 13: 9783030395674
Nuovo
Rilegato
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book covers not only foundational materials but also the most recent progresses made during the past few years on the area of machine learning algorithms. In spite of the intensive research and development in this area, there does not exist a systematic treatment to introduce the fundamental concepts and recent progresses on machine learning algorithms, especially on those based on stochastic optimization methods, randomized algorithms, nonconvex optimization, distributed and online learning, and projection free methods. This book will benefit the broad audience in the area of machine learning, artificial intelligence and mathematical programming community by presenting these recent developments in a tutorial style, starting from the basic building blocks to the most carefully designed and complicated algorithms for machine learning. 596 pp. Englisch. Codice articolo 9783030395674
Compra nuovo
EUR 69,54
EUR 23,00 shipping
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 2 disponibili
Immagini fornite dal venditore
First-Order and Stochastic Optimization Methods for Machine Learning
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
Condizione: As New. Unread book in perfect condition. Codice articolo 41454145
Compra usato
EUR 80,95
EUR 17,07 shipping
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
First-Order and Stochastic Optimization Methods for Machine Learning
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: As New. Unread book in perfect condition. Codice articolo 41454145
Compra usato
EUR 81,27
EUR 2,25 shipping
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
First-Order and Stochastic Optimization Methods for Machine Learning
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
Condizione: New. Codice articolo 41454145-n
Compra nuovo
EUR 85,10
EUR 17,07 shipping
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
First-Order and Stochastic Optimization Methods for Machine Learning
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. Codice articolo 41454145-n
Compra nuovo
EUR 95,15
EUR 2,25 shipping
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
First-order and Stochastic Optimization Methods for Machine Learning
Editore:
Springer Nature Switzerland AG, CH, 2020
ISBN 10: 3030395677
ISBN 13: 9783030395674
Nuovo
Rilegato
Da: Rarewaves.com UK, London, Regno Unito
Valutazione del venditore 5 su 5 stelle
Hardback. Condizione: New. 2020 ed. This book covers not only foundational materials but also the most recent progresses made during the past few years on the area of machine learning algorithms. In spite of the intensive research and development in this area, there does not exist a systematic treatment to introduce the fundamental concepts and recent progresses on machine learning algorithms, especially on those based on stochastic optimization methods, randomized algorithms, nonconvex optimization, distributed and online learning, and projection free methods. This book will benefit the broad audience in the area of machine learning, artificial intelligence and mathematical programming community by presenting these recent developments in a tutorial style, starting from the basic building blocks to the most carefully designed and complicated algorithms for machine learning. Codice articolo LU-9783030395674
Compra nuovo
EUR 104,88
EUR 73,99 shipping
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
First-order and Stochastic Optimization Methods for Machine Learning
Editore:
Springer Nature Switzerland AG, CH, 2020
ISBN 10: 3030395677
ISBN 13: 9783030395674
Nuovo
Rilegato
Da: Rarewaves.com USA, London, LONDO, Regno Unito
Valutazione del venditore 5 su 5 stelle
Hardback. Condizione: New. 2020 ed. This book covers not only foundational materials but also the most recent progresses made during the past few years on the area of machine learning algorithms. In spite of the intensive research and development in this area, there does not exist a systematic treatment to introduce the fundamental concepts and recent progresses on machine learning algorithms, especially on those based on stochastic optimization methods, randomized algorithms, nonconvex optimization, distributed and online learning, and projection free methods. This book will benefit the broad audience in the area of machine learning, artificial intelligence and mathematical programming community by presenting these recent developments in a tutorial style, starting from the basic building blocks to the most carefully designed and complicated algorithms for machine learning. Codice articolo LU-9783030395674
Compra nuovo
EUR 110,94
Spedizione gratuita
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
First-order and Stochastic Optimization Methods for Machine Learning
Editore:
Springer International Publishing, 2020
ISBN 10: 3030395677
ISBN 13: 9783030395674
Nuovo
Rilegato
Da: moluna, Greven, Germania
Valutazione del venditore 4 su 5 stelle
Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents comprehensive study of topics in machine learning from introductory material through most complicated algorithmsSummarizes most recent findings in the area of machine learningAddresses a broad audience . Codice articolo 448681234
Compra nuovo
EUR 127,40
EUR 48,99 shipping
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: Più di 20 disponibili
First-order and Stochastic Optimization Methods for Machine Learning
Editore:
Springer International Publishing, 2020
ISBN 10: 3030395677
ISBN 13: 9783030395674
Nuovo
Rilegato
Da: preigu, Osnabrück, Germania
Valutazione del venditore 5 su 5 stelle
Buch. Condizione: Neu. First-order and Stochastic Optimization Methods for Machine Learning | Guanghui Lan | Buch | xiii | Englisch | 2020 | Springer International Publishing | EAN 9783030395674 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Codice articolo 117897012
Compra nuovo
EUR 132,20
EUR 70,00 shipping
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 5 disponibili
Foto dell'editore
First-order and Stochastic Optimization Methods for Machine Learning (Springer Series in the Data Sciences)
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. Codice articolo ABLIING23Mar3113020016186
Compra nuovo
EUR 148,01
EUR 3,39 shipping
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: Più di 20 disponibili