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O'Reilly Building Machine Learning Powered Applications Book

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Description

Master the transition from concept to deployment with Building Machine Learning Powered Applications by O'Reilly. This hands-on guide provides the practical skills needed to design, build, and deploy applications driven by machine learning. Instead of just learning theory, you will follow a step-by-step process to build an example ML-driven application from its initial idea through to a fully deployed product. Written by Emmanuel Ameisen, an experienced data scientist and former AI education leader, this book is designed for a wide range of professionals. Whether you are a data scientist, software engineer, or product manager, you will find value in the tools and best practices shared throughout the chapters. The content is suitable for both experienced practitioners looking to refine their workflow and novices starting their journey in the field. Learn how to navigate the real-world challenges of machine learning development and turn your ideas into functional, production-ready software.

Key Features

Hands-on application development that guides you from the initial idea stage to a final deployed product.

Practical instruction on designing, building, and deploying machine learning powered software applications.

Step-by-step guidance on managing the specific tools and challenges involved in real-world ML development.

Versatile content designed for data scientists, software engineers, and product managers of all skill levels.

Expert insights from author Emmanuel Ameisen, an experienced data scientist and AI education leader.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
31 January 2020
Listed Since
22 June 2019

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