Building Machine Learning Powered Applications: Going from Idea to Product baixar livro de graça

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

Procurando Building Machine Learning Powered Applications: Going from Idea to Product? Aqui você encontra tudo sobre este livro de Emmanuel Ameisen em 25 de fevereiro de 2020. Nesta página estão a descrição da obra, os detalhes da edição (257 páginas) e os formatos disponíveis para baixar: epub, pdf, lit, odf. O livro está escrito em Inglês. Se você gosta de Livros Internacionais, Computação, Informática e Mídias Digitais, Programação, Algoritmos, explore também outros títulos da mesma categoria no Leitura em português. Veja ainda as outras obras de Emmanuel Ameisen em nosso catálogo.