Fundamentals of data analytics : with a view to machine learning
Material type: TextPublication details: Switzerland : Springer, ©2020Description: XI, 127 p. : ill. ; 24 cmISBN:- 9783030568337
- 519.502 MAT-F
Contents:
1 Introduction 2 Prerequisites from Matrix Analysis 3 Multivariate Distributions and Moments 4 Dimensionality Reduction 5 Classification and Clustering 6 Support Vector Machines 7 Machine Learning
Item type | Current library | Collection | Call number | Status | Notes | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|---|
Books | IIITD Reference | Mathematics | REF 519.502 MAT-F (Browse shelf(Opens below)) | Loan on demand | Gifted by IIITD-IIC | G02588 |
Total holds: 0
Browsing IIITD shelves, Shelving location: Reference, Collection: Mathematics Close shelf browser (Hides shelf browser)
REF 519.5 WAS-A All of statistics : | REF 519.5 WEI-I Introductory statistics | REF 519.502 ADL-R R in a nutshell | REF 519.502 MAT-F Fundamentals of data analytics : with a view to machine learning | REF 519.5028 CRA-R The R book | REF 519.52 AGG-O Outlier analysis | REF 519.535 AGR-I An introduction to categorical data analysis |
This book has an index.
1 Introduction 2 Prerequisites from Matrix Analysis 3 Multivariate Distributions and Moments 4 Dimensionality Reduction 5 Classification and Clustering 6 Support Vector Machines 7 Machine Learning
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