Description: Further DetailsTitle: Designing Machine Learning SystemsCondition: NewSubtitle: An Iterative Process for Production-Ready ApplicationsEAN: 9781098107963ISBN: 9781098107963Publisher: O'Reilly MediaFormat: PaperbackRelease Date: 05/31/2022Description: 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.This book will help you tackle scenarios such as:Engineering data and choosing the right metrics to solve a business problemAutomating the process for continually developing, evaluating, deploying, and updating modelsDeveloping a monitoring system to quickly detect and address issues your models might encounter in productionArchitecting an ML platform that serves across use casesDeveloping responsible ML systemsLanguage: EnglishCountry/Region of Manufacture: USItem Height: 233mmItem Length: 178mmAuthor: Chip HuyenGenre: Computing & InternetRelease Year: 2022 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Book Title: Designing Machine Learning Systems
Title: Designing Machine Learning Systems
Subtitle: An Iterative Process for Production-Ready Applications
EAN: 9781098107963
ISBN: 9781098107963
Release Date: 05/31/2022
Release Year: 2022
Country/Region of Manufacture: US
Genre: Computing & Internet
Number of Pages: 386 Pages
Publication Name: Designing Machine Learning Systems : an Iterative Process for Production-Ready Applications
Language: English
Publisher: O'reilly Media, Incorporated
Publication Year: 2022
Item Height: 0.8 in
Subject: Machine Theory, Enterprise Applications / Business Intelligence Tools, Intelligence (Ai) & Semantics
Type: Textbook
Item Weight: 23.6 Oz
Item Length: 9.2 in
Author: Chip Huyen
Subject Area: Computers
Item Width: 7.1 in
Format: Trade Paperback