Computational Thinking: Just Enough Math
Date: This event took place live on June 04 2014
Presented by: Paco Nathan
Duration: Approximately 60 minutes.
The webcast 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.
In the webcast, Paco Nathan will discuss how to:
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.
This webcast previews Nathan's "Just Enough Math" tutorial at OSCON, based on the upcoming book by Paco and Allen Day.
About Paco Nathan
Paco Nathan, is known as a "player/coach"� data scientist who's led innovative Data teams building large-scale apps for 10+ years. As a recognized expert in distributed systems, machine learning, and Enterprise data workflows, Paco is an O'Reilly author "Enterprise Data Workflows with Cascading"� and an advisor for The Data Guild in Palo Alto, CA. Paco received his BS Math Sci and MS Comp Sci degrees from Stanford University, and has 25+ years technology industry experience ranging from Bell Labs to early-stage start-ups. Newsletter and "official" web site: http://liber118.com/pxn/
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