Language:
English
Pages:
1 streaming video file (46 min, 18 sec.)
,
digital, sd., col.
Keywords:
Commercial statistics
;
Business mathematics
;
Big data
;
Python (Computer program language)
;
Electronic videos ; local
Abstract:
"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.
Note:
Title from resource description page (Safari, viewed August 6, 2014)
