000 | 01097nam a2200205 4500 | ||
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005 | 20250716164908.0 | ||
008 | 250716b |||||||| |||| 00| 0 eng d | ||
020 | _a9789811681929 | ||
082 |
_a006.31 JUN _bJUN |
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100 | _aJung, Alexander | ||
245 |
_aMachine learning _b: the basics |
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260 |
_aSingapore: _bSpringer Nature, _c2022. |
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300 | _axvii, 212p. | ||
490 | _aMachine Learning : Foundations, Methodologies, and Applications | ||
500 | _aIncludes bibliographical references and index. | ||
520 | _aMachine learning (ML) has become a commonplace element in our everyday lives and a standard tool for many fields of science and engineering. To make optimal use of ML, it is essential to understand its underlying principles. This book approaches ML as the computational implementation of the scientific principle. This principle consists of continuously adapting a model of a given data-generating phenomenon by minimizing some form of loss incurred by its predictions. | ||
650 | _aMachine learning | ||
650 | _aModules of machine learning | ||
942 |
_2ddc _n0 _cC |
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999 |
_c30534 _d30534 |