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Machine learning with R : expert techniques for predictive modeling / Brett Lantz.

By: Lantz, Brett [author.]Material type: TextTextPublisher: Birmingham : Packt, 2019Edition: 3rd editionDescription: xiii, 437 pages : illustrations (black and white) ; 24 cmContent type: text | still image Media type: unmediated Carrier type: volumeISBN: 9781788295864 (pbk.) :Subject(s): Machine learning | R (Computer program language) | Computers and IT | Computers and ITDDC classification: 006.3'1 Summary: Machine learning, at its core, is concerned with transforming data into actionable knowledge. This fact makes machine learning well-suited to the present-day era of 'big data' and 'data science'. Given the growing prominence of R - a cross-platform, zero-cost statistical programming environment - there has never been a better time to start applying machine learning. Whether you are new to data science or a veteran, machine learning with R offers a powerful set of methods for quickly and easily gaining insight from your data.
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Item type Current library Home library Shelving location Class number Status Date due Barcode Item reservations
Book Book Paul Hamlyn Library Paul Hamlyn Library Floor 1 006.31 LAN (Browse shelf(Opens below)) Available 06764975
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Previous edition: 2015.

Includes bibliographical references and index.

Machine learning, at its core, is concerned with transforming data into actionable knowledge. This fact makes machine learning well-suited to the present-day era of 'big data' and 'data science'. Given the growing prominence of R - a cross-platform, zero-cost statistical programming environment - there has never been a better time to start applying machine learning. Whether you are new to data science or a veteran, machine learning with R offers a powerful set of methods for quickly and easily gaining insight from your data.

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