| 000 | 01150 a2200181 4500 | ||
|---|---|---|---|
| 005 | 20260902111140.0 | ||
| 020 | _a9783030959937 | ||
| 080 | _a004.931'1 FIE | ||
| 100 |
_aFieguth, Paul. _94004 |
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| 245 | 1 | 3 | _aAn introduction to pattern recognition and machine learning / by Paul Fieguth |
| 250 | _a1st edition. | ||
| 260 |
_aSwitzerland AG: _bSpringer Nature, _c2022. |
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| 300 |
_axxii, 471 p. _c24 cm. |
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| 520 | _aThis text offers an accessible and conceptually rich introduction, a solid mathematical development emphasizing simplicity and intuition. Students beginning to explore pattern recognition do not need a suite of mathematically advanced methods or complicated computational libraries to understand and appreciate pattern recognition; rather the fundamental concepts and insights, eminently teachable at the undergraduate level, motivate this text. This book provides methods of analysis that the reader can realistically undertake on their own, supported by real-world examples, case-studies, and worked numerical / computational studies. | ||
| 650 |
_aMachine learning _93940 |
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| 650 |
_aPattern recognition _94010 |
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| 942 | _cREF | ||
| 999 |
_c5625 _d5620 |
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