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 Online-Ressource
Verfasst von:Huyen, Chip [VerfasserIn]   i
Titel:Kikai gakushū shisutemu dezain
 機械学習システムデザイン
Titelzusatz:jitsūn'yō reberu no apurikēshon o jitsugensuru keizokuteki hanpuku purosesu
 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
 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
Mitwirkende:Egawa, Takashi [ÜbersetzerIn]   i
 Hirayama, Jun'ichi [ÜbersetzerIn]   i
Werktitel:Designing machine learning systems
Verf.angabe:Chip Huyen cho ; Egawa Takashi, Hirayama Jun'ichi yaku = Designing machine learning systems : an iterative process for production-ready applications / Chip Huyen
 Chip Huyen著 ; 江川崇, 平山順一訳 = Designing machine learning systems : an iterative process for production-ready applications / Chip Huyen.
Ausgabe:Shohan.
 初版
Verlagsort:Tōkyō-to Shinjuku-ku
Verlag:Orairī Japan
 オライリー・ジャパン
Jahr:2023
 2023
Umfang:1 online resource (408 pages)
Schrift/Sprache:In Japanese.
ISBN:978-4-8144-0040-9
 4-8144-0040-3
Abstract:"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".
URL:Aggregator: https://learning.oreilly.com/library/view/-/9784814400409/?ar
Datenträger:Online-Ressource
Sprache:jpn
Sach-SW:Apprentissage automatique
 Intelligence artificielle ; Applications industrielles
 Conception de systèmes
 Théorie de l'apprentissage informatique
 Ingénierie ; Informatique
K10plus-PPN:1871287162
 
 
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