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 problemBuild your first end-to-end pipeline quickly and acquire an initial datasetTrain and evaluate your ML models and address performance bottlenecksDeploy and monitor your models in a production environment
Publisher: O'Reilly MediaISBN: 9781492045113Dimensions: 233 x 178 mm
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