Data science algorithms in a week top 7 algorithms for scientific computing, data analysis, and machine learning Dávid Natingga

Material type: Text

TextPublication details: Birmingham, UK Packt Publishing 2018Edition: 2nd edISBN:

9781789806076

Subject(s):

DDC classification:

006.31 NAT

Summary: Table of ContentsClassification using K Nearest NeighborsNaive BayesDecision TreesRandom ForestsClustering into K clustersRegressionTime Series AnalysisPython ReferenceStatisticsGlossary of Algorithms and Methods in Data ScienceSummary: Choosing the right algorithm is often a key differentiator in the success or failure of a data model and its optimal performance. This book introduces you to 7 key machine learning algorithms which you can easily grasp within a week and includes exercises that will help you learn different aspects of machine learning without any hassle.

List(s) this item appears in: STEM & ENGINEERING CORNER

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Holdings
Item type	Current library	Shelving location	Call number	Copy number	Status	Date due	Barcode
Books	CamTech Library	STEM & Engineering	006.31 NAT (Browse shelf(Opens below))	C.1	Available		CamTech 000025

Table of ContentsClassification using K Nearest NeighborsNaive BayesDecision TreesRandom ForestsClustering into K clustersRegressionTime Series AnalysisPython ReferenceStatisticsGlossary of Algorithms and Methods in Data Science

Choosing the right algorithm is often a key differentiator in the success or failure of a data model and its optimal performance. This book introduces you to 7 key machine learning algorithms which you can easily grasp within a week and includes exercises that will help you learn different aspects of machine learning without any hassle.

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