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January 11, 2014

Mtg: An Engineer’s Guide to Data Science: A Live Interactive Tutorial

by @ 8:04 pm. Filed under ALL, BioEngineering, Communications, Computers/Software, Electrical/Power, Electronics Design, NanoEngineering, Optics/Displays, Semiconductors

MONDAY January 27, 2014
SCV Young Professionals (GOLD) Chapter
Speaker: Shashi Sathyanarayana, PhD, Numeric Insight, Inc.
Time: Networking and pizza at 6:30 PM; Presentation at 7:30 PM
Cost: $7 for IEEE members, $10 non-members
Place: LinkedIn, 2025 Stierlin Ct, Mountain View
RSVP: from website

Big Data and analytics are at the center of a powerful movement.  Businesses are using machine learning to parse, reduce, simplify and categorize data.  However, it is daunting for the newcomer to get on board and become a part of the movement.  Most reference texts on machine learning are aimed at researchers or those who can invest a significant amount of study time, which is difficult to do in todayâ??s busy world.
In this tutorial, participants will easily absorb the ABCs of machine learning concepts, terms and methodology while enjoying an intuitive introduction to the mathematics.  They will understand how computers can be taught to detect patterns and make predictions.  We will start with simple examples and cover concepts such as Bayesian classifiers, clustering, decision trees and more.  Machine learning concepts will be illustrated using live algorithms.
The tutorial will introduce machine learning concepts starting with a question such as “How does a bank implement a marketing strategy using their vast stores of data?”  Classifiers will be introduced using simple and intuitive methods.  Those with little or no prior exposure to machine learning or statistical pattern recognition have often heard the hand-waving phrase ” .. take all this data and analyze it to arrive at …”  The mystery around the word “analyze” will be effectively cleared.


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