Kikai gakushū ni yoru jitsuyō apurikēshon kōchiku: jirei o tsūjite manabu, sekkei kara honban kadō made no purosesu /
機械学習による実用アプリケーション構築 : 事例を通じて学ぶ, 設計から本番稼働までのプロセス /
"Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, you'll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managers--...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Weitere beteiligte Personen: | |
| Format: | Elektronisch E-Book |
| Sprache: | Japanisch |
| Veröffentlicht: |
Tōkyō-to Shinjuku-ku
Orairī Japan
2021
|
| Ausgabe: | Shohan. |
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9784873119502/?ar |
| Zusammenfassung: | "Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, you'll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managers--including experienced practitioners and novices alike--will learn the tools, best practices, and challenges involved in building a real-world ML application step by step. Author Emmanuel Ameisen, an experienced data scientist who led an AI education program, demonstrates practical ML concepts using code snippets, illustrations, screenshots, and interviews with industry leaders. Part I teaches you how to plan an ML application and measure success. Part II explains how to build a working ML model. Part III demonstrates ways to improve the model until it fulfills your original vision. Part IV covers deployment and monitoring strategies. This book will help you:Define your product goal and set up a machine learning problemBuild your first end-to-end pipeline quickly and acquire an initial datasetTrain and evaluate your ML models and address performance bottlenecksDeploy and monitor your models in a production environment." -- |
| Beschreibung: | Online resource; title from title details screen (O'Reilly, viewed April 19, 2022) |
| Umfang: | 1 Online-Ressource (256 Seiten) |
| ISBN: | 9784873119502 4873119502 |
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| discipline | Informatik |
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| spelling | Ameisen, Emmanuel VerfasserIn aut Building machine learning powered applications 880-01 Kikai gakushū ni yoru jitsuyō apurikēshon kōchiku jirei o tsūjite manabu, sekkei kara honban kadō made no purosesu / Emmanuel Ameisen cho ; Kikuchi Akira yaku = Building machine learning powered applications / Emmanuel Ameisen 880-02 Shohan. 880-03 Tōkyō-to Shinjuku-ku Orairī Japan 2021 1 Online-Ressource (256 Seiten) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Online resource; title from title details screen (O'Reilly, viewed April 19, 2022) "Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, you'll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managers--including experienced practitioners and novices alike--will learn the tools, best practices, and challenges involved in building a real-world ML application step by step. Author Emmanuel Ameisen, an experienced data scientist who led an AI education program, demonstrates practical ML concepts using code snippets, illustrations, screenshots, and interviews with industry leaders. Part I teaches you how to plan an ML application and measure success. Part II explains how to build a working ML model. Part III demonstrates ways to improve the model until it fulfills your original vision. Part IV covers deployment and monitoring strategies. This book will help you:Define your product goal and set up a machine learning problemBuild your first end-to-end pipeline quickly and acquire an initial datasetTrain and evaluate your ML models and address performance bottlenecksDeploy and monitor your models in a production environment." -- Machine learning Application software Development Apprentissage automatique Logiciels d'application ; Développement Application software ; Development Kikuchi, Akira ÜbersetzerIn trl 245-01/Chin 機械学習による実用アプリケーション構築 : 事例を通じて学ぶ, 設計から本番稼働までのプロセス / Emmanuel Ameisen著 ; 菊池彰訳 = Building machine learning powered applications / Emmanuel Ameisen. 250-02/Chin 初版. 264-03/Chin 東京都新宿区 オライリー・ジャパン 2021 |
| spellingShingle | Ameisen, Emmanuel Kikai gakushū ni yoru jitsuyō apurikēshon kōchiku jirei o tsūjite manabu, sekkei kara honban kadō made no purosesu / Machine learning Application software Development Apprentissage automatique Logiciels d'application ; Développement Application software ; Development |
| title | Kikai gakushū ni yoru jitsuyō apurikēshon kōchiku jirei o tsūjite manabu, sekkei kara honban kadō made no purosesu / |
| title_alt | Building machine learning powered applications |
| title_auth | Kikai gakushū ni yoru jitsuyō apurikēshon kōchiku jirei o tsūjite manabu, sekkei kara honban kadō made no purosesu / |
| title_exact_search | Kikai gakushū ni yoru jitsuyō apurikēshon kōchiku jirei o tsūjite manabu, sekkei kara honban kadō made no purosesu / |
| title_full | Kikai gakushū ni yoru jitsuyō apurikēshon kōchiku jirei o tsūjite manabu, sekkei kara honban kadō made no purosesu / Emmanuel Ameisen cho ; Kikuchi Akira yaku = Building machine learning powered applications / Emmanuel Ameisen |
| title_fullStr | Kikai gakushū ni yoru jitsuyō apurikēshon kōchiku jirei o tsūjite manabu, sekkei kara honban kadō made no purosesu / Emmanuel Ameisen cho ; Kikuchi Akira yaku = Building machine learning powered applications / Emmanuel Ameisen |
| title_full_unstemmed | Kikai gakushū ni yoru jitsuyō apurikēshon kōchiku jirei o tsūjite manabu, sekkei kara honban kadō made no purosesu / Emmanuel Ameisen cho ; Kikuchi Akira yaku = Building machine learning powered applications / Emmanuel Ameisen |
| title_short | Kikai gakushū ni yoru jitsuyō apurikēshon kōchiku |
| title_sort | kikai gakushu ni yoru jitsuyo apurikeshon kochiku jirei o tsujite manabu sekkei kara honban kado made no purosesu |
| title_sub | jirei o tsūjite manabu, sekkei kara honban kadō made no purosesu / |
| topic | Machine learning Application software Development Apprentissage automatique Logiciels d'application ; Développement Application software ; Development |
| topic_facet | Machine learning Application software Development Apprentissage automatique Logiciels d'application ; Développement Application software ; Development |
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