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Computational thinking : just enough math /
"This event introduces advanced math for business people --"just enough" to take advantage of open source frameworks -- including graph theory, abstract algebra, optimization, bayesian statistics, and more advanced areas of linear algebra. These are needed for supply chain optimizatio...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico Video |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
O'Reilly Media,
2014.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
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| 100 | 1 | |a Nathan, Paco, |d 1962- | |
| 245 | 1 | 0 | |a Computational thinking : |b just enough math / |c Paco Nathan. |
| 260 | |a [Place of publication not identified] : |b O'Reilly Media, |c 2014. | ||
| 300 | |a 1 online resource (1 streaming video file (46 min., 18 sec.)) | ||
| 336 | |a two-dimensional moving image |b tdi |2 rdacontent | ||
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| 338 | |a online resource |b cr |2 rdacarrier | ||
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| 500 | |a Title from resource description page (Safari, viewed August 6, 2014). | ||
| 511 | 0 | |a Presenter, Paco Nathan. | |
| 520 | |a "This event introduces advanced math for business people --"just enough" to take advantage of open source frameworks -- including graph theory, abstract algebra, optimization, bayesian statistics, and more advanced areas of linear algebra. These are needed for supply chain optimization, pricing models, and anti-fraud, especially given the increased data rates coming from the Internet of Things. Paco Nathan discusses how to: Develop themes within the material to highlight a computational thinking approach for Big Data Decompose a complex problem into smaller solvable problems Leverage pattern recognition to identify when a known approach can be leveraged Abstract from those patterns into generalizations as strategies Articulate strategies as -- general recipes for how to handle complex problems He will also focus on morsels of advanced math, tying each new concept to a concrete business use case, showing brief code examples in Python."--Resource description page. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Commercial statistics. | |
| 650 | 0 | |a Business mathematics. | |
| 650 | 0 | |a Big data. | |
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 6 | |a Mathématiques financières. | |
| 650 | 6 | |a Données volumineuses. | |
| 650 | 6 | |a Python (Langage de programmation) | |
| 650 | 7 | |a Big data. |2 fast |0 (OCoLC)fst01892965 | |
| 650 | 7 | |a Business mathematics. |2 fast |0 (OCoLC)fst00842780 | |
| 650 | 7 | |a Commercial statistics. |2 fast |0 (OCoLC)fst00869640 | |
| 650 | 7 | |a Python (Computer program language) |2 fast |0 (OCoLC)fst01084736 | |
| 655 | 4 | |a Electronic videos. | |
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| 994 | |a 92 |b IZTAP | ||