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...
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| Main Author: | |
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| Corporate Author: | |
| Format: | Video |
| Language: | English |
| Published: |
[Place of publication not identified] :
O'Reilly Media,
2014.
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| Subjects: | |
| Online Access: | CONNECT CONNECT |
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| 245 | 1 | 0 | |a Computational thinking : |b just enough math / |c Paco Nathan. |
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| 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. | ||
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