000			01470nam a22002657a 4500
005			20250625145229.0
008			250625b |||||||| |||| 00| 0 eng d
020			_a9798886130706
040			_aCSL _cCSL
041			_2eng _aeng
084			_aD65,8(B):(S:72) R4 _qCSL
100			_aWichert , Andreas _eauthor. _9814557
245			_aMachine Learning _b: Journey to Deep Learning
260			_aLondon : _bWorld Scientific, _c2024.
300			_axvi, 624p. _b: ill. _c; 23 cm.
500			_aIncludes bibliography and index.
520			_aThis unique compendium discusses some core ideas for the development and implementation of machine learning from three different perspectives — the statistical perspective, the artificial neural network perspective and the deep learning methodology.The useful reference text represents a solid foundation in machine learning and should prepare readers to apply and understand machine learning algorithms as well as to invent new machine learning methods. It tells a story outgoing from a perceptron to deep learning highlighted with concrete examples, including exercises and answers for the students.
650			_aMachine learning. _9480917
650			_aProbability.
650			_aDeep learning _9733223
650			_aLinear Algebra.
650			_aPerceptron. _9814558
700			_aSa-Couto, Luis _eco-author. _9814559
942			_2CC _cTEXL _hD65,8(B):(S:72) R4 _n0
999			_c1432926 _d1432926