SØG - mellem flere end 8 millioner bøger:
Viser: Building Machine Learning Powered Applications - Going from Idea to Product
Building Machine Learning Powered Applications Vital Source e-bog
Emmanuel Ameisen
(2020)
Building Machine Learning Powered Applications
Going from Idea to Product
Emmanuel Ameisen
(2020)
Sprog: Engelsk
om ca. 10 hverdage
Detaljer om varen
- 1. Udgave
- Vital Source searchable e-book (Reflowable pages)
- Udgiver: O'Reilly Media, Inc (Januar 2020)
- ISBN: 9781492045069
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- Paperback: 250 sider
- Udgiver: O'Reilly Media, Incorporated (Februar 2020)
- ISBN: 9781492045113
Learn the skills necessary to design, build, and deploy applications powered by machine learning. Through the course of this hands-on book, you'll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managers with little or no ML experience will learn the tools, best practices, and challenges involved in building a real-world ML application step-by-step.
Author Emmanuel Ameisen, who worked as a data scientist at Zipcar and led Insight Data Science's AI program, demonstrates key ML concepts with code snippets, illustrations, and screenshots from the book's example application.
The first part of this guide shows you how to plan and measure success for an ML application. Part II shows you how to build a working ML model, and Part III explains how to improve the model until it fulfills your original vision. Part IV covers deployment and monitoring strategies.
This book will help you:
- Determine your product goal and set up a machine learning problem
- Build your first end-to-end pipeline quickly and acquire an initial dataset
- Train and evaluate your ML model and address performance bottlenecks
- Deploy and monitor models in a production environment
Handler du som firma
Forretningsbetingelser
Porto og forsendelse
Data & cookiepolitik
Tlf 77 42 43 44 - email poly@polyteknisk.dk - CVR 34072655 - Sydbank Reg: 6748 Konto 0001107927