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...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Beteilige Person: Nathan, Paco 1962- (VerfasserIn)
Körperschaft: O'Reilly (Firm) (MitwirkendeR)
Format: Elektronisch Video
Sprache:Englisch
Veröffentlicht: [Place of publication not identified] O'Reilly Media 2014
Schlagwörter:
Links:https://learning.oreilly.com/library/view/-/9781491910498/?ar
Zusammenfassung:"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.
Beschreibung:Title from resource description page (Safari, viewed August 6, 2014)
Umfang:1 Online-Ressource (1 streaming video file (46 min., 18 sec.))