Building Machine Learning Powered Applications

"Learn the skills necessary to design, build, and deploy applications powered machine learning (ML). Through the course of this hands-on book, youll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managersincluding experienced practitioners and novices alikewill learn the tools, best practices, and challenges involved in building a real-world ML application step step."margin: -4px 0px 14px; padding: 0px; font-family: Arial, sans-serif; font-size: 14px;"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."margin: -4px 0px 14px; padding: 0px; font-family: Arial, sans-serif; font-size: 14px;"This book will help you: