000 | 02907nam a22005415i 4500 | ||
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001 | 978-981-19-7908-8 | ||
003 | DE-He213 | ||
005 | 20240423125227.0 | ||
007 | cr nn 008mamaa | ||
008 | 230120s2023 si | s |||| 0|eng d | ||
020 |
_a9789811979088 _9978-981-19-7908-8 |
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024 | 7 |
_a10.1007/978-981-19-7908-8 _2doi |
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050 | 4 | _aQ325.5-.7 | |
072 | 7 |
_aUYQM _2bicssc |
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_aUYQM _2thema |
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082 | 0 | 4 |
_a006.31 _223 |
100 | 1 |
_aMurty, M. N. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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245 | 1 | 0 |
_aRepresentation in Machine Learning _h[electronic resource] / _cby M. N. Murty, M. Avinash. |
250 | _a1st ed. 2023. | ||
264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2023. |
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300 |
_aIX, 93 p. 1 illus. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aSpringerBriefs in Computer Science, _x2191-5776 |
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505 | 0 | _a1. Introduction -- 2. Representation -- 3. Nearest Neighbor Algorithms -- 4. Representation Using Linear Combinations -- 5. Non-Linear Schemes for Representation -- 6. Conclusions. | |
520 | _aThis book provides a concise but comprehensive guide to representation, which forms the core of Machine Learning (ML). State-of-the-art practical applications involve a number of challenges for the analysis of high-dimensional data. Unfortunately, many popular ML algorithms fail to perform, in both theory and practice, when they are confronted with the huge size of the underlying data. Solutions to this problem are aptly covered in the book. In addition, the book covers a wide range of representation techniques that are important for academics and ML practitioners alike, such as Locality Sensitive Hashing (LSH), Distance Metrics and Fractional Norms, Principal Components (PCs), Random Projections and Autoencoders. Several experimental results are provided in the book to demonstrate the discussed techniques’ effectiveness. | ||
650 | 0 | _aMachine learning. | |
650 | 0 |
_aArtificial intelligence _xData processing. |
|
650 | 0 | _aArtificial intelligence. | |
650 | 1 | 4 | _aMachine Learning. |
650 | 2 | 4 | _aData Science. |
650 | 2 | 4 | _aArtificial Intelligence. |
700 | 1 |
_aAvinash, M. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9789811979071 |
776 | 0 | 8 |
_iPrinted edition: _z9789811979095 |
830 | 0 |
_aSpringerBriefs in Computer Science, _x2191-5776 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-981-19-7908-8 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
942 | _cSPRINGER | ||
999 |
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