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Finding signal in the noise: How to put big data to use
Submitted by Goldee Udani (@goldee) on Thursday, 29 March 2012
How one can derive actionable insights from big data using Machine Learning, Natural Language Processing and Statistical Modeling
Data scientists use a variety of different techniques nowadays to analyze large-scale data and derive valuable insights from them. I will cover some of these techniques from machine learning, NLP and statistical modeling and how it has been used to uncover insights hidden in the data.
Goldee Udani is the Founder/CEO of Beevolve. Beevolve offers one of the leading social media monitoring and insights platform in the market today. Prior to Beevolve, he has worked at two startups in the field of web mining and speech analysis. He has also co-authored a number of research papers and patent on mining data. He has a bachelor’s degree in Computer Science from Gujarat University, India and a master’s degree in Computer Science from University of Southern California.