Kikai gakushū shisutemu dezain: jitsūn'yō reberu no apurikēshon o jitsugensuru keizokuteki hanpuku purosesu / = Designing machine learning systems :
機械学習システムデザイン : 実運用レベルのアプリケーションを実現する継続的反復プロセス /
"Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holisti...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Weitere beteiligte Personen: | , |
| Format: | Elektronisch E-Book |
| Sprache: | Japanisch |
| Veröffentlicht: |
Tōkyō-to Shinjuku-ku
Orairī Japan
2023
|
| Ausgabe: | Shohan. |
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9784814400409/?ar |
| Zusammenfassung: | "Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML 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. The iterative framework in this book uses actual case studies backed by ample references". |
| Umfang: | 1 Online-Ressource (408 Seiten) |
| ISBN: | 9784814400409 4814400403 |
Internformat
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| 520 | |a "Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML 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. The iterative framework in this book uses actual case studies backed by ample references". | ||
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| 880 | 1 | 0 | |6 245-01/Chin |a 機械学習システムデザイン : |b 実運用レベルのアプリケーションを実現する継続的反復プロセス / |c Chip Huyen著 ; 江川崇, 平山順一訳 = Designing machine learning systems : an iterative process for production-ready applications / Chip Huyen. |
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| discipline | Informatik |
| edition | Shohan. |
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| id | ZDB-30-ORH-098491776 |
| illustrated | Not Illustrated |
| indexdate | 2025-01-17T11:22:18Z |
| institution | BVB |
| isbn | 9784814400409 4814400403 |
| language | Japanese |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource (408 Seiten) |
| psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Orairī Japan |
| record_format | marc |
| spelling | Huyen, Chip VerfasserIn aut Designing machine learning systems 880-01 Kikai gakushū shisutemu dezain jitsūn'yō reberu no apurikēshon o jitsugensuru keizokuteki hanpuku purosesu / = Designing machine learning systems : Chip Huyen cho ; Egawa Takashi, Hirayama Jun'ichi yaku = Designing machine learning systems : an iterative process for production-ready applications / Chip Huyen Designing machine learning systems : 880-02 Shohan. 880-03 Tōkyō-to Shinjuku-ku Orairī Japan 2023 1 Online-Ressource (408 Seiten) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier "Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML 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. The iterative framework in this book uses actual case studies backed by ample references". In Japanese. Machine learning Artificial intelligence Industrial applications System design Artificial intelligence Design Computational learning theory Engineering Data processing Apprentissage automatique Intelligence artificielle ; Applications industrielles Conception de systèmes Théorie de l'apprentissage informatique Ingénierie ; Informatique Egawa, Takashi ÜbersetzerIn trl Hirayama, Jun'ichi ÜbersetzerIn trl 245-01/Chin 機械学習システムデザイン : 実運用レベルのアプリケーションを実現する継続的反復プロセス / Chip Huyen著 ; 江川崇, 平山順一訳 = Designing machine learning systems : an iterative process for production-ready applications / Chip Huyen. 250-02/Chin 初版. 264-03/Chin 東京都新宿区 オライリー・ジャパン 2023 |
| spellingShingle | Huyen, Chip Kikai gakushū shisutemu dezain jitsūn'yō reberu no apurikēshon o jitsugensuru keizokuteki hanpuku purosesu / = Designing machine learning systems : Machine learning Artificial intelligence Industrial applications System design Artificial intelligence Design Computational learning theory Engineering Data processing Apprentissage automatique Intelligence artificielle ; Applications industrielles Conception de systèmes Théorie de l'apprentissage informatique Ingénierie ; Informatique |
| title | Kikai gakushū shisutemu dezain jitsūn'yō reberu no apurikēshon o jitsugensuru keizokuteki hanpuku purosesu / = Designing machine learning systems : |
| title_alt | Designing machine learning systems Designing machine learning systems : |
| title_auth | Kikai gakushū shisutemu dezain jitsūn'yō reberu no apurikēshon o jitsugensuru keizokuteki hanpuku purosesu / = Designing machine learning systems : |
| title_exact_search | Kikai gakushū shisutemu dezain jitsūn'yō reberu no apurikēshon o jitsugensuru keizokuteki hanpuku purosesu / = Designing machine learning systems : |
| title_full | Kikai gakushū shisutemu dezain jitsūn'yō reberu no apurikēshon o jitsugensuru keizokuteki hanpuku purosesu / = Designing machine learning systems : Chip Huyen cho ; Egawa Takashi, Hirayama Jun'ichi yaku = Designing machine learning systems : an iterative process for production-ready applications / Chip Huyen |
| title_fullStr | Kikai gakushū shisutemu dezain jitsūn'yō reberu no apurikēshon o jitsugensuru keizokuteki hanpuku purosesu / = Designing machine learning systems : Chip Huyen cho ; Egawa Takashi, Hirayama Jun'ichi yaku = Designing machine learning systems : an iterative process for production-ready applications / Chip Huyen |
| title_full_unstemmed | Kikai gakushū shisutemu dezain jitsūn'yō reberu no apurikēshon o jitsugensuru keizokuteki hanpuku purosesu / = Designing machine learning systems : Chip Huyen cho ; Egawa Takashi, Hirayama Jun'ichi yaku = Designing machine learning systems : an iterative process for production-ready applications / Chip Huyen |
| title_short | Kikai gakushū shisutemu dezain |
| title_sort | kikai gakushu shisutemu dezain jitsun yo reberu no apurikeshon o jitsugensuru keizokuteki hanpuku purosesu designing machine learning systems |
| title_sub | jitsūn'yō reberu no apurikēshon o jitsugensuru keizokuteki hanpuku purosesu / = Designing machine learning systems : |
| topic | Machine learning Artificial intelligence Industrial applications System design Artificial intelligence Design Computational learning theory Engineering Data processing Apprentissage automatique Intelligence artificielle ; Applications industrielles Conception de systèmes Théorie de l'apprentissage informatique Ingénierie ; Informatique |
| topic_facet | Machine learning Artificial intelligence Industrial applications System design Artificial intelligence Design Computational learning theory Engineering Data processing Apprentissage automatique Intelligence artificielle ; Applications industrielles Conception de systèmes Théorie de l'apprentissage informatique Ingénierie ; Informatique |
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