INTRODUCATION TO MACHINE LEARNING WITH R

By:

BURGER SCOTT

Material type: Text

TextPublication details: NAVI MUMBAI SHROFF PUBLISHERS AND DISTRIBUTORS PVT LTD 2018Description: ix, 212ISBN:

978-93-5213-725-1

Subject(s):

MACHINE LEARNING, STATISTICS AND MODEL TRAINING IN R

DDC classification:

006.31/BUR

Summary: Machine learning is an intimidating subject until you know the fundamentals. If you understand basic coding concepts, this introductory guide will help you gain a solid foundation in machine learning principles. Using the R programming language, you’ll first start to learn with regression modelling and then move into more advanced topics such as neural networks and tree-based methods.

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Item type	Current library	Call number	Status	Notes	Date due	Barcode
Books	Symbiosis Institute of Computer Studies and Research Algorithm	006.31/BUR (Browse shelf(Opens below))	Available	MACHINE LEARNING, STATISTICS AND MODEL TRAINING IN R		SICSR-B-19520

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Previous	006.3/MIT MACHINE LEARNING	006.3/SAR/BAL PRACTICAL MACHINE LEARNING WITH PYTHON	006.31/BON MACHINE LEARNING ALGORITHMS	006.31/BUR INTRODUCATION TO MACHINE LEARNING WITH R	006.31/FLA MACHINE LEARNING: THE ART AND SCIENCE OF ALGORITHMS THAT MAKE SENSE OF DATA	006.31/FLA MACHINE LEARNING: THE ART AND SCIENCE OF ALGORITHMS THAT MAKE SENSE OF DATA	006.31/FLA MACHINE LEARNING: THE ART AND SCIENCE OF ALGORITHMS THAT MAKE SENSE OF DATA	Next

Machine learning is an intimidating subject until you know the fundamentals. If you understand basic coding concepts, this introductory guide will help you gain a solid foundation in machine learning principles. Using the R programming language, you’ll first start to learn with regression modelling and then move into more advanced topics such as neural networks and tree-based methods.

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