000 | 01856nam a2200241Ia 4500 | ||
---|---|---|---|
003 | NULRC | ||
005 | 20250520102826.0 | ||
008 | 250520s9999 xx 000 0 und d | ||
020 | _a9781118889060 | ||
040 | _cNULRC | ||
050 | _aQ 325.5 .B45 2015 | ||
100 |
_aBell, Jason. _eauthor |
||
245 | 0 |
_aMachine learning : _bhands-on for developers and technical professionals / _cJason Bell |
|
260 |
_aIndianapolis, Indiana : _bWiley, _cc2015 |
||
300 |
_axxiv, 380 pages : _billustrations ; _c24 cm. |
||
365 | _bUSD33.5 | ||
504 | _aIncludes bibliographical references and index. | ||
505 | _aWhat is machine learning? -- Planning machine learning -- Working with decision trees -- Bayesian networks -- Artificial neural networks -- Association rules learning -- Support vector machines -- Clustering -- Machine learning in real time with Spring XD -- Maching learning as a batch process -- Apache Spark -- Machine learning with R. | ||
520 | _aThis book provides hands-on instruction and fully-coded working examples for the most common machine learning techniques used by developers and technical professionals. It contains a breakdown of each ML variant, explaining how it works and how it is used within certain industries, allowing readers to incorporate the presented techniques into their own work as they follow along. It is an accessible, comprehensive guide for the non-mathematician, providing clear guidance that allows readers to: learn the languages of machine learning including Hadoop, Mahout, and Weka; understand decision trees, Bayesian networks, and artificial neural networks; implement association rule, real time, and batch learning; develop a strategic plan for safe, effective, and efficient machine learning. -- Edited summary | ||
650 | _aMACHINE LEARNING | ||
700 |
_aBell, Jason _eco-author |
||
942 |
_2lcc _cBK |
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999 |
_c16272 _d16272 |