Proektirovanie sistem mashinnogo obuchenii︠a︡
Kniga, osnovannai︠a︡ na stėnfordskom uchebnom kurse, ne ogranichivaetsi︠a︡ razborom konkretnykh bibliotek, a opisyvaet vysokourovnevyĭ podkhod k razrabotke sistem mashinnogo obuchenii︠a︡, kotoryĭ uproshchaet ikh podderzhku i razvitie, pozvoli︠a︡et izbezhatʹ pereobuchenii︠a︡, iskazhenii︠a︡ rezulʹt...
| Otros Autores: | |
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| Formato: | Libro electrónico |
| Idioma: | Ruso |
| Publicado: |
Astana [Kazakhstan] :
Izdatalʹstvo Foliant
[2023]
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009851337206719 |
| Sumario: | Kniga, osnovannai︠a︡ na stėnfordskom uchebnom kurse, ne ogranichivaetsi︠a︡ razborom konkretnykh bibliotek, a opisyvaet vysokourovnevyĭ podkhod k razrabotke sistem mashinnogo obuchenii︠a︡, kotoryĭ uproshchaet ikh podderzhku i razvitie, pozvoli︠a︡et izbezhatʹ pereobuchenii︠a︡, iskazhenii︠a︡ rezulʹtatov. In this book, you'll learn a holistic approach to designing machine learning systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, co-founder of Claypot AI, considers each design decision--such as how to process and create training data, which features to use, how often to retrain models, and what to monitor--in the context of how it can help your system as a whole achieve its objectives. |
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| Notas: | "Authorized Russian translation of the English edition."--Title page verso |
| Descripción Física: | 1 online resource (364 pages) : illustrations |
| ISBN: | 9786012717273 |
