Phillips, Jeff M.  <br/><br/>
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 .
<br/><br/> Includes bibliographical references and indexes. 
<br/><br/>1. Probability Review<br/>2. Convergence and Sampling<br/>3. Linear Algebra Review<br/>4. Distances and Nearest Neighbors<br/>5. Linear Regression<br/>6. Gradient Descent<br/>7. Dimensionality Reduction<br/>8. Clustering<br/>9. Classification<br/>10. Graph structured data<br/>11. Big data and sketching<br/>Index 
<br/><br/><label>ISBN: </label>9783030623401 (hb) 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Mathematics--Quantitative research Mathematics--Machine learning Mathematics--Data mining Mathematics--Linear Algebra --Data analysis--Visualization--FC
<br/><br/><label>Dewey Class. No.: </label>006.3120151  / PHI