LEADER 00000cam  2200301Ii 4500 
001    1081372892 
003    OCoLC 
008    190114t20192019maua     b    001 0 eng d 
020    9780692196380 
020    0692196382 
040    YDX|beng|erda|cYDX|dSEA|dPUL|dOCLCF|dNLHHG|dPAU|dOCLCO
       |dSTF|dOCLCO|dUPM|dOCLCO|dIPL|dGUA|dOCLCO|dP4A|dCOO|dOCLCO
       |dBCD|dUtOrBLW 
092    512.5|bSTR 
100 1  Strang, Gilbert,|eauthor. 
245 10 Linear algebra and learning from data /|cGilbert Strang. 
264  1 Wellesley, MA :|bWellesley-Cambridge Press,|c[2019] 
264  4 |c©2019 
300    xiii, 432 pages :|billustrations ;|c25 cm 
336    text|btxt|2rdacontent 
337    unmediated|bn|2rdamedia 
338    volume|bnc|2rdacarrier 
504    Includes bibliographical references and index. 
505 0  Deep learning and neural nets -- Preface and 
       acknowledgements -- Part I: Highlights of linear algebra -
       - Part II: Computations with large matrices -- Part III: 
       Low rank and compressed sensing -- Part IV: Special 
       matrices -- Part V: Probability and statistics -- Part IV:
       Optimization -- Part VII: Learning from data -- Books on 
       machine learning -- Eigenvalues and singular values : rank
       one -- Codes and algorithms for numerical linear algebra -
       - Counting parameters in the basic factorizations -- Index
       of authors -- Index -- Index of symbols. 
650  0 Algebras, Linear|vTextbooks. 
650  0 Mathematical optimization|vTextbooks. 
650  0 Mathematical statistics|vTextbooks. 
655  7 Textbooks.|2lcgft