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R machine learning projects: implement supervised, unsupervised, and reinforcement learning techniques using R 3.5

The purpose of the book is to help a machine learning practitioner gets hands-on experience in working with real-world data and apply modern machine learning algorithms. You will learn to implement each algorithm to a specific industry problem. It covers projects involving both supervised as well as...

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Detalles Bibliográficos
Autor principal: Chinnamgari, Sunil Kumar
Lenguaje:eng
Publicado: Packt Publishing 2019
Materias:
XX
Acceso en línea:http://cds.cern.ch/record/2667910
Descripción
Sumario:The purpose of the book is to help a machine learning practitioner gets hands-on experience in working with real-world data and apply modern machine learning algorithms. You will learn to implement each algorithm to a specific industry problem. It covers projects involving both supervised as well as unsupervised learning approaches.