Building Machine Learning Powered Applications: Going from Idea to Product

Building Machine Learning Powered Applications: Going from Idea to Product

<div><p>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.</p><p>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.</p><p>This book will help you:</p><ul><li>Define your product goal and set up a machine learning problem</li><li>Build your first end-to-end pipeline quickly and acquire an initial dataset</li><li>Train and evaluate your ML models and address performance bottlenecks</li><li>Deploy and monitor your models in a production environment</li></ul></div>