| 000 | 02589nam a22003611i 4500 | ||
|---|---|---|---|
| 003 | UkCbUP | ||
| 005 | 20251203152134.0 | ||
| 008 | 220614s2024||||enk ob 001 0|eng|d | ||
| 020 | _a9781009318242 | ||
| 020 | _z9781009318259 | ||
| 041 | _aEnglish | ||
| 082 | 0 | 4 |
_a006.312 _223 _bTRI |
| 100 | 1 | _aTriguero, Isaac, | |
| 100 | 1 | _eauthor. | |
| 245 | 1 | 0 |
_aLarge-scale data analytics with Python and Spark : _ba hands-on guide to implementing machine learning solutions / _cIsaac Triguero, Mikel Galar. |
| 260 |
_aUnited Kingdom, _bCambridge University Press, Cambridge, _c2024. |
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| 300 |
_axvi, 378 pages : _b illustrations ; _c25 cm |
||
| 504 | _aIncludes bibliographical references and index. | ||
| 505 | _aIntroduction MapReduce Hadoop Spark Spark SQL and DataFrames Machine Learning with Spark Machine Learning for Big Data Implementing Classical Methods: k-Means and Linear Regression Advanced Examples: Semi-supervised, Ensembles, Deep Learning Model Deployment | ||
| 506 | _aAccess restricted to subscribing institutions. | ||
| 520 | _aBased on the authors' extensive teaching experience, this hands-on graduate-level textbook teaches how to carry out large-scale data analytics and design machine learning solutions for big data. With a focus on fundamentals, this extensively class-tested textbook walks students through key principles and paradigms for working with large-scale data, frameworks for large-scale data analytics (Hadoop, Spark), and explains how to implement machine learning to exploit big data. It is unique in covering the principles that aspiring data scientists need to know, without detail that can overwhelm. Real-world examples, hands-on coding exercises and labs combine with exceptionally clear explanations to maximize student engagement. Well-defined learning objectives, exercises with online solutions for instructors, lecture slides, and an accompanying suite of lab exercises of increasing difficulty in Jupyter Notebooks offer a coherent and convenient teaching package. An ideal teaching resource for courses on large-scale data analytics with machine learning in computer/data science departments. | ||
| 630 | 0 | 0 | _aSPARK (Electronic resource) |
| 650 | 0 | _aData mining. | |
| 650 | 0 | _aPython (Computer program language) | |
| 650 | 0 | _aBig data. | |
| 700 | 1 | _aGalar, Mikel, | |
| 700 | 1 | _eauthor. | |
| 776 | 0 | 8 |
_iPrint version: _z9781009318259. |
| 856 | 4 | 0 | _uhttps://ezproxy.lib.gla.ac.uk/login?url=https://doi.org/10.1017/9781009318242 |
| 856 | 4 | 0 | _zConnect to resource |
| 907 | _a.b41271294 | ||
| 942 |
_2ddc _cBOOKS |
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| 999 |
_c46262 _d46262 |
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