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O'Reilly Building Machine Learning Powered Applications - O'Reilly

Amazon

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Description

Learn to design, build, and deploy machine learning applications from initial concept to production-ready product with this hands-on O'Reilly guide. Written by Emmanuel Ameisen, an experienced data scientist who led an AI education program, this book equips data scientists, software engineers, and product managers with practical ML concepts and real-world strategies. Whether you're a seasoned practitioner or new to machine learning, you'll discover the tools, best practices, and solutions to common challenges encountered when developing ML-driven applications. Step-by-step examples walk you through building a complete example application, ensuring you understand both the theoretical foundations and implementation details necessary for success in production environments.

Key Features

O'Reilly provides comprehensive coverage of machine learning application development written by an experienced data scientist and AI education leader.

Hands-on book format guides you through building a complete example ML-driven application from initial idea through deployment.

Practical content addresses data scientists, software engineers, and product managers at all experience levels, from novices to experienced practitioners.

Real-world focus covers the tools, best practices, and challenges you'll encounter when building production machine learning applications.

Step-by-step approach ensures you understand implementation details and theoretical foundations needed for successful ML deployment.

Computing and programming resource designed for professionals developing intelligent applications in modern software environments.

Product Specifications

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

Barcode

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