Fundamentals of Data Analytics : With a View to Machine Learning
2020 ed.
Book Details
Format
Hardback or Cased Book
ISBN-10
303056830X
ISBN-13
9783030568306
Edition
2020 ed.
Publisher
Springer Nature Switzerland AG
Imprint
Springer Nature Switzerland AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Sep 16th, 2020
Print length
127 Pages
Product Classification:
Information theoryProbability & statisticsProbability and statisticsMathematical & statistical softwareMathematical and statistical softwareAlgorithms & data structuresAlgorithms and data structuresDatabasesDatabases / Data managementArtificial intelligenceArtificial intelligence (AI)
Ksh 14,400.00
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This book introduces the basic methodologies for successful data analytics. The methodological overlap between data science and machine learning is emphasized by demonstrating how data science is used for classification as well as supervised and unsupervised learning.
This book introduces the basic methodologies for successful data analytics. Matrix optimization and approximation are explained in detail and extensively applied to dimensionality reduction by principal component analysis and multidimensional scaling. Diffusion maps and spectral clustering are derived as powerful tools. The methodological overlap between data science and machine learning is emphasized by demonstrating how data science is used for classification as well as supervised and unsupervised learning.
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