Mathematical foundations for data analysis
Phillips, Jeff M.
Mathematical foundations for data analysis - Cham Springer Nature Singapore Pte Ltd. 2021 - xvii, 287 p. : ill., Col. ; 24 cm - Springer series in the data sciences .
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
9783030623401 (hb)
Mathematics--Quantitative research Mathematics--Machine learning Mathematics--Data mining Mathematics--Linear Algebra --Data analysis--Visualization--FC
006.3120151 / PHI
Mathematical foundations for data analysis - Cham Springer Nature Singapore Pte Ltd. 2021 - xvii, 287 p. : ill., Col. ; 24 cm - Springer series in the data sciences .
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
9783030623401 (hb)
Mathematics--Quantitative research Mathematics--Machine learning Mathematics--Data mining Mathematics--Linear Algebra --Data analysis--Visualization--FC
006.3120151 / PHI