SKU/Artículo: AMZ-149204511X
Building Machine Learning Powered Applications: Going from Idea to Product
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
1.22 kg
1.22 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, youâÂÂll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managersâÂÂincluding experienced practitioners and novices alikeâÂÂwill 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
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AR$117.170
44% OFF
AR$65.097
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