Building Machine Learning Powered Applications

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

"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: