Building machine learning powered applications : going from idea to product / Emmanuel Ameisen.

Format:

Book

Author/Creator:

Ameisen, Emmanuel, author.

Language:

English

Subjects (All):

Machine learning.

Physical Description:

1 online resource (260 pages) : illustrations

Edition:

First edition.

Place of Publication:

Beijing : O'Reilly, February 2020

System Details:

text file

Summary:

Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). 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—including experienced practitioners and novices alike—will learn the tools, best practices, and challenges involved in building a real-world ML application step by step. Author Emmanuel Ameisen, an experienced data scientist who led an AI education program, demonstrates practical ML concepts using code snippets, illustrations, screenshots, and interviews with industry leaders. Part I teaches you how to plan an ML application and measure success. Part II explains how to build a working ML model. Part III demonstrates ways to improve the model until it fulfills your original vision. Part IV covers deployment and monitoring strategies. This book will help you: Define 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 models and address performance bottlenecks Deploy and monitor your models in a production environment

Contents:

From product goal to ML framing

Create a plan

Build your firest end-to-end pipeline

Acquire an initial dataset

Train and evaluate your model

Debug your ML problems

Using classifiers for writing recommendations

Considerations when deploying models

Choose your deployment option

Build safeguards for models

Monitor and update models.

Notes:

Description based on print version record.

Includes index.

ISBN:

9781492045106

1492045101

9781492045083

149204508X

9781492045069

1492045063

OCLC:

1137802521