East Baton Rouge Parish Library

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

Label
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
Language
jpn
Index
no index present
Literary Form
non fiction
Main title
Kikai gakushū shisutemu dezain機械学習システムデザイン :
Nature of contents
dictionaries
Oclc number
11407624533
Responsibility statement
Chip Huyen cho ; Egawa Takashi, Hirayama Jun'ichi yaku = Designing machine learning systems : an iterative process for production-ready applications / Chip HuyenChip Huyen著 ; 江川崇, 平山順一訳 = Designing machine learning systems : an iterative process for production-ready applications / Chip Huyen
Sub title
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 /
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"
resource.variantTitle
Designing machine learning systems, an iterative process for production-ready applications