Kikai gakushū shisutemu dezain : jitsūn'yō reberu no apurikēshon o jitsugensuru keizokuteki hanpuku purosesu / Chip Huyen cho ; Egawa Takashi, Hirayama Jun'ichi yaku = Designing machine learning systems : an iterative process for production-ready applications / Chip Huyen.

Format:

Book

Author/Creator:

Huyen, Chip, author.

Contributor:

Egawa, Takashi, translator.

Hirayama, Jun'ichi, translator.

Standardized Title:

Designing machine learning systems. Japanese

Language:

Japanese

Subjects (All):

Machine learning.

Artificial intelligence--Industrial applications.

Artificial intelligence.

System design.

Artificial intelligence--Design.

Computational learning theory.

Engineering--Data processing.

Engineering.

Physical Description:

1 online resource (408 pages)

Edition:

Shohan.

Place of Publication:

Tōkyō-to Shinjuku-ku : Orairī Japan, 2023.

Summary:

"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".

Notes:

OCLC-licensed vendor bibliographic record.

ISBN:

9784814400409

4814400403

OCLC:

1407624533