Mathematical foundations for data analysis

By:

Phillips, Jeff M

Material type: Text

TextSeries: Springer series in the data sciencesPublication details: Cham Springer Nature Singapore Pte Ltd. 2021Description: xvii, 287 p. : ill., Col. ; 24 cmISBN:

9783030623401 (hb)

Subject(s):

Mathematics -- Quantitative research Mathematics -- Machine learning Mathematics -- Data mining Mathematics -- Linear Algebra -- Data analysis -- Visualization -- FC

DDC classification:

006.3120151 PHI

Contents:

1. Probability Review 2. Convergence and Sampling 3. Linear Algebra Review 4. Distances and Nearest Neighbors 5. Linear Regression 6. Gradient Descent 7. Dimensionality Reduction 8. Clustering 9. Classification 10. Graph structured data 11. Big data and sketching Index

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Holdings
Item type	Current library	Call number	URL	Copy number	Status	Date due	Barcode
Books	Main Campus	006.3120151 PHI (Browse shelf(Opens below))	Link to resource	1	Available		69910

Includes bibliographical references and indexes.

1. Probability Review
2. Convergence and Sampling
3. Linear Algebra Review
4. Distances and Nearest Neighbors
5. Linear Regression
6. Gradient Descent
7. Dimensionality Reduction
8. Clustering
9. Classification
10. Graph structured data
11. Big data and sketching
Index

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