We never feel prepared when disaster strikes – from the devastation of Hurricanes Katrina and Sandy to the Pacific earthquake that moved the main island… Read More »How Big Data Is Boosting Emergency Preparedness
This post was written by Sean Owen. Data scientists have hundreds of probability distributions from which to choose. Where to start? Data science, whatever it… Read More »Common Probability Distributions: The Data Scientist’s Crib Sheet
Today, with of Digitization everything, 80 percent the data being created is unstructured. Audio, Video, our social footprints, the data generated from conversations between customer service reps,… Read More »See this simple introduction to Natural Language Processing (NLP)
When I was a kid there was a popular movie quote going around, “Love means never having to say you’re sorry” which was the basis… Read More »Statistics Means Never Having to Say You Are Certain!
Below are some images generated by an algorithm that I originally created to study stocks. The stock in this case is Yahoo! in the early… Read More »Adapting an Algorithm to Real-time Applications
Contributed by Bernard Ong. He enrolled in the NYC Data Science Academy 12-week full time Data Science Bootcamp program taking place between July 5th to September 23rd, 2016. This… Read More »Use Neural Networks to Find the Best Words to Title Your eBook
Contributed by Sharan Duggal. Introduction Insider Trading is often associated with the illegal activity of trading in shares of ones company based on material non public… Read More »Relationship between Insider Trading & short term stock prices
As AI enters our homes through smart home devices or tries to conquer our streets through self-driving cars, one need not be a Luddite to… Read More »Can computers think? An epistemology for Artificial Intelligence
In my previous articles on ‘What I Wanted To Know About Big Data But Was Afraid To Ask’ series, I covered ‘What is Big Data’ and ‘Who came… Read More »Analyzing The Hype Around Big Data – A Balanced View
The trend and seasonality can be accounted for in a linear model by including sinusoidal components with a given frequency. However, finding the appropriate frequency… Read More »How signal processing can be used to identify patterns in complex time series
