| 000 | 01371cam a2200169 i 4500 | ||
|---|---|---|---|
| 020 | _a9780190941666 | ||
| 082 | 0 | 0 |
_a006.31 LAR/A _b |
| 100 | 1 | _aKai R Larsen | |
| 245 | 1 | 0 |
_aAutomated machine learning for business / _cKai R. Larsen and Daniel S. Becker. |
| 260 |
_aNew York: _bOxford University Press, _c2021. |
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| 300 |
_axvii, 328 p.: _billustrations ; |
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| 504 | _aIncludes bibliographical references (pages 315-317) and index. | ||
| 520 | _a"In this book, we teach the machine learning process using a new development in data science; automated machine learning. AutoML, when implemented properly, makes machine learning accessible to most people because it removes the need for years of experience in the most arcane aspects of data science, such as the math, statistics, and computer science skills required to become a top contender in traditional machine learning. Anyone trained in the use of AutoML can use it to test their ideas and support the quality of those ideas during presentations to management and stakeholder groups. Because the requisite investment is one semester-long undergraduate course rather than a year in a graduate program, these tools will likely become a core component of undergraduate programs, and over time, even the high-school curriculum"-- | ||
| 650 | 0 | _aBusiness planning | |
| 700 | 1 | _aDaniel S Becker | |
| 942 |
_cBK _2ddc |
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| 999 |
_c697672 _d697672 |
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