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Machine learning with R quick start guide a beginner's guide to implementing machine learning techniques from scratch using R 3.5

This book is ideal for people wanting to get up-and-running with the core concepts of machine learning using R 3.5. This book follows a step-by-step approach to implementing an end-to-end pipeline, addressing data collection and processing, various types of data analysis, and machine learning use ca...

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Bibliographic Details
Main Author: Pastor Sanz, Iván
Format: eBook
Language:English
Published: Birmingham, UK Packt Publishing 2019
Subjects:
R (langage De Programmation)
Machine Learning / Http://id.loc.gov/authorities/subjects/sh85079324
R (computer Program Language) / Fast
Machine Learning / Fast
Apprentissage Automatique
R (computer Program Language) / Http://id.loc.gov/authorities/subjects/sh2002004407
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
Summary:This book is ideal for people wanting to get up-and-running with the core concepts of machine learning using R 3.5. This book follows a step-by-step approach to implementing an end-to-end pipeline, addressing data collection and processing, various types of data analysis, and machine learning use cases
Physical Description:1 online resource illustrations
ISBN:1838647058

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