June 2014
Intermediate
46m
English
Closed Captioning available in German, English, Spanish, French, Japanese, Korean, Portuguese (Portugal, Brazil), Chinese (Simplified), Chinese (Traditional)
Overview
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 algorithms — 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.
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