000			a
999			_c33187 _d33187
008			240404b xxu||||| |||| 00| 0 eng d
020			_a9781009218146 _chbk.
082			_a519.54 _bSAY
100			_aSayed, Ali H.
245			_aInference and learning from data : Foundations
260			_bCambridge University Press, _c2023 _aCambridge :
300			_ali, 1052 p. ; _bill., _c24 cm.
365			_b84.99 _c£ _d109.40
490			_vVol. 1
504			_aIncludes bibliographical references and index.
520			_aSummary:This extraordinary three-volume work provides an accessible, comprehensive introduction to mathematical and statistical techniques for data-driven learning and inference. Ideal for early-career researchers and graduate students across signal processing, machine learning, statistics and data science.
650			_aBig data
650			_aStatistical methods
650			_aMathematical models
650			_aInference
650			_aPrimalDual Methods
650			_aVector Differentiation
650			_aGaussian Distribution
650			_aConvex Functions
650			_aLipschitz Conditions
650			_aUniform Sampling
650			_aRandom Reshuffling
942			_2ddc _cBK