Artificial Intelligence and Cognitive Computing
There’s been a lot of hype lately behind Artificial Intelligence (AI) and Cognitive Computing, both terms that generally refer to programs or computing systems that “...
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The 9 Best Marketing And Sales Analytics You Should Know About
Sales and marketing analytics are essential to unlocking commercially relevant insights, increasing revenue and profitability, and improving brand perception. With the he...
The Amazing Ways Big Data Is Used In China
Big Data gets a lot of coverage these days, and it would be easy for anyone to believe that all the innovation is happening in the west, and particularly in Silicon Valle...
Automated Linear Regression for Really, Really Big Data
What do you think about Inora, a company that advertises itself as the New Linear Regression Approach – Scalable to Big Data. Our data scientist also developed aut...
Spectral Clustering – How Math is Redefining Decision Making
Guest blog post by Gaurav Agrawal, COO at Soothsayer Analytics. In today’s world of big data and the internet of things, it is common for a business to find itself si...
To Optimize or to Satisfice When Visualizing Data?
Is there a single “best” way to visualize data in a particular scenario and for a particular audience, or are there multiple “good enough” ways? That’s the deba...
Overview and simple trial of Convolutional Neural Network with MXnet
Actually I’ve known about MXnet for weeks as one of the most popular library / packages in Kaggler, but just recently I heard bug fix has been almost done and some ...
Ten Signs of Data Science Maturity – Free eBook
Kirk Borne and I recently published “Ten Signs of Data Science Maturity” free O’Reilly ebook (http://www.oreilly.com/data/free/ten-signs-of-data-science...
Variance, Clustering, and Density Estimation Revisited
Introduction We propose here a simple, robust and scalable technique to perform supervised clustering on numerical data. It can also be used for density estimation, and e...
Citizen Data Scientist – Care, Feeding, and Control
Summary: Management values the self-starting, data-driven, curious, and urgent characteristics that define the Citizen Data Scientist. But the path to encouraging the...