Info
First-order and Stochastic Optimization Methods for Machine Learning / Guanghui Lan
| First-order and Stochastic Optimization Methods for Machine Learning / Guanghui Lan |
| Autore | Lan, Guanghui |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xiii, 582 p. : ill. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
90C25 - Convex programming [MSC 2020] 90C15 - Stochastic programming [MSC 2020] 68W15 - Distributed algorithms [MSC 2020] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 90C26 - Nonconvex programming, global optimization [MSC 2020] 68W20 - Randomized algorithms [MSC 2020] 68W27 - Online algorithms; streaming algorithms [MSC 2020] |
| Soggetto non controllato |
Distributed and decentralized methods
Machine learning algorithms Nonconvex optimization methods Randomized algorithms Stochastic optimization methods |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0249143 |
Lan, Guanghui
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
First-order and Stochastic Optimization Methods for Machine Learning / Guanghui Lan
| First-order and Stochastic Optimization Methods for Machine Learning / Guanghui Lan |
| Autore | Lan, Guanghui |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xiii, 582 p. : ill. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 68W15 - Distributed algorithms [MSC 2020] 68W20 - Randomized algorithms [MSC 2020] 68W27 - Online algorithms; streaming algorithms [MSC 2020] 90C15 - Stochastic programming [MSC 2020] 90C25 - Convex programming [MSC 2020] 90C26 - Nonconvex programming, global optimization [MSC 2020] |
| Soggetto non controllato |
Distributed and decentralized methods
Machine learning algorithms Nonconvex optimization methods Randomized algorithms Stochastic optimization methods |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00249143 |
|
Lan, Guanghui
|
||
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Thinking Data Science : A Data Science Practitioner’s Guide / Poornachandra Sarang
| Thinking Data Science : A Data Science Practitioner’s Guide / Poornachandra Sarang |
| Autore | Sarang, Poornachandra |
| Pubbl/distr/stampa | Cham, : Springer, 2023 |
| Descrizione fisica | xx, 358 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 68-XX - Computer science [MSC 2020] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 68T07 - Artificial neural networks and deep learning [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] 68T50 - Natural language processing [MSC 2020] |
| Soggetto non controllato |
Machine Learning mode selection
Machine learning algorithms Naïve Bayes |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00279081 |
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Sarang, Poornachandra
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| Cham, : Springer, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||