000 | 02446nam a22004097a 4500 | ||
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001 | 21503706 | ||
003 | IIITD | ||
005 | 20230701020002.0 | ||
008 | 230520b xxu||||| |||| 00| 0 eng d | ||
010 | _a 2020001727 | ||
020 | _a9781944660345 | ||
040 |
_aLBSOR/DLC _beng _cDLC _erda _dDLC _dIIITD |
||
042 | _apcc | ||
050 | 0 | 0 |
_aQA184.2 _b.G35 2020 |
082 | 0 | 0 |
_a512.502 _223 _bGAL-L |
100 | 1 | _aGallier, Jean | |
245 | 1 | 0 |
_aLinear algebra and optimization with applications to machine learning : _cby Jean Gallier and Jocelyn Quaintance _blinear algebra for computer vision, robotics, and machine learning, vol I |
260 |
_aSingapore : _bWorld Scientific, _c©2023 |
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300 |
_axv, 806 p. : _bill. ; _c23 cm |
||
490 |
_aLinear algebra and optimization with applications to machine learning ; _v1 |
||
504 | _aIncludes bibliographical references and index. | ||
505 | 1 | _aVolume I. Linear algebra for computer vision, robotics, and machine learning -- Volume II. Fundamentals of optimization theory with applications to machine learning | |
520 | _a"This book provides the mathematical fundamentals of linear algebra to practicers in computer vision, machine learning, robotics, applied mathematics, and electrical engineering. By only assuming a knowledge of calculus, the authors develop, in a rigorous yet down to earth manner, the mathematical theory behind concepts such as: vectors spaces, bases, linear maps, duality, Hermitian spaces, the spectral theorems, SVD, and the primary decomposition theorem. At all times, pertinent real-world applications are provided. This book includes the mathematical explanations for the tools used which we believe that is adequate for computer scientists, engineers and mathematicians who really want to do serious research and make significant contributions in their respective fields"-- | ||
650 | 0 | _aAlgebras, Linear. | |
650 | 0 |
_aMachine learning _xMathematics. |
|
650 | 0 | _aRobotics | |
650 | 0 | _aAlgebras, Linear -- Data processing | |
650 | 0 | _aComputer science -- Mathematics | |
650 | 0 | _aComputer - aided design | |
650 | 0 | _aMachine learning | |
650 | 0 | _aAlgebras, Linear | |
650 | 0 | _aComputer vision | |
700 | 1 | _aQuaintance, Jocelyn | |
906 |
_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg |
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942 |
_2ddc _cBK _01 |
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999 |
_c171284 _d171284 |