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Building recommendation systems in Python and JAX : hands-on production systems at scale / 1st ed

Building recommendation systems in Python and JAX : hands-on production systems at scale / 1st ed

자료유형
단행본
개인저자
Bischof, Bryan. Yee, Hector.
서명 / 저자사항
Building recommendation systems in Python and JAX : hands-on production systems at scale / Bryan Bischof and Hector Yee.
판사항
1st ed.
발행사항
Sebastopol, CA :   O'Reilly Media, Inc.,   2023, c2024.  
형태사항
xviii, 332 p. : ill. ; 24 cm.
ISBN
9781492097990 1492097993
요약
Implementing and designing systems that make suggestions to users are among the most popular and essential machine learning applications available. Whether you want customers to find the most appealing items at your online store, videos to enrich and entertain them, or news they need to know, recommendation systems (RecSys) provide the way. In this practical book, authors Bryan Bischof and Hector Yee illustrate the core concepts and examples to help you create a RecSys for any industry or scale. You'll learn the math, ideas, and implementation details you need to succeed. This book includes the RecSys platform components, relevant MLOps tools in your stack, plus code examples and helpful suggestions in PySpark, SparkSQL, FastAPI, and Weights & Biases.
일반주기
Includes index.  
일반주제명
Machine learning. Python (Computer program language). Computer programming.
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245 1 0 ▼a Building recommendation systems in Python and JAX : ▼b hands-on production systems at scale / ▼c Bryan Bischof and Hector Yee.
250 ▼a 1st ed.
260 ▼a Sebastopol, CA : ▼b O'Reilly Media, Inc., ▼c 2023, c2024.
264 1 ▼a Sebastopol, CA : ▼b O'Reilly Media, Inc., ▼c 2023.
264 4 ▼c ©2024
300 ▼a xviii, 332 p. : ▼b ill. ; ▼c 24 cm.
336 ▼a text ▼b txt ▼2 rdacontent
337 ▼a unmediated ▼b n ▼2 rdamedia
338 ▼a volume ▼b nc ▼2 rdacarrier
500 ▼a Includes index.
520 ▼a Implementing and designing systems that make suggestions to users are among the most popular and essential machine learning applications available. Whether you want customers to find the most appealing items at your online store, videos to enrich and entertain them, or news they need to know, recommendation systems (RecSys) provide the way. In this practical book, authors Bryan Bischof and Hector Yee illustrate the core concepts and examples to help you create a RecSys for any industry or scale. You'll learn the math, ideas, and implementation details you need to succeed. This book includes the RecSys platform components, relevant MLOps tools in your stack, plus code examples and helpful suggestions in PySpark, SparkSQL, FastAPI, and Weights & Biases.
650 0 ▼a Machine learning.
650 0 ▼a Python (Computer program language).
650 0 ▼a Computer programming.
700 1 ▼a Yee, Hector.
945 ▼a ITMT

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 과학도서관/Sci-Info(2층서고)/ 청구기호 006.31 B621b 등록번호 121265783 도서상태 대출가능 반납예정일 예약 서비스 B M

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