000			a
999			_c30860 _d30860
008			220823b xxu||||| |||| 00| 0 eng d
020			_a9780198714934
082			_a621.3822 _bLIT
100			_aLittle, Max A.
245			_aMachine learning for signal processing : data science, algorithms, and computational statistics
260			_bOxford University Press, _c2019 _aOxford :
300			_axviii, 359 p. ; _bill. _c26 cm
365			_b58.00 _cGBP _d99.50
504			_aIncludes bibliographical references and index.
520			_aThis title describes in detail the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, two of the most important and exciting technologies in the modern information economy. It builds up concepts gradually so that the ideas and algorithms can be implemented in practical software applications.
650			_aMachine learning
650			_aSignal processing
650			_aDigital techniques
650			_aMathematics
650			_aStatistical methods
650			_aArmijo bound
650			_aBacktracking
650			_aBayesian
650			_aClustering
650			_aDistribution
650			_aEstimator
650			_aFourier transform
650			_a Gaussian process
650			_a Impulse response
650			_aKernel regression
650			_aOptimization
650			_aQuantization
650			_aStochastic process
650			_aViterb
942			_2ddc _cBK