Untapped Economic Assets? How to Monetize Your Dark Data
What if you had a corporate asset that was never used? Your first response might be that corporate asset obviously has no value. And you’d probably be right. Howeve...
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7 Facts That Nobody Told You About Artificial Intelligence
In 1956, American Computer specialist John McCarthy created the Dartmouth Conference, at which the term Artificial Intelligence was first adopted. Researchers Allen Newel...
Tech Talk with Rowel Atienza: Is Keras the Perfect Deep Learning Library in Python?
Keras [Chollet, François. “Keras (2015).” (2017)] is a popular deep learning library with over 250,000 developers at the time of writing, and over 600 active...
Three-way data splits (training, test and validation) for model selection and performance estimation
The use of training, validation and test datasets is common but not easily understood. In this post, I attempt to clarify this concept. The post is part of my forthcomi...
How to Set the Stage for a Successful Data Science Project: A Sales Person’s Perspective
By Pranay Agarwal and Betsy Romeri. “They just don’t understand me. I provide them with all the necessary details, all the data and analysis possible, but they d...
The problem with Cambridge Analytica is not (just) the privacy breach
The problem with Cambridge Analytica is not the privacy breach TL;DR: Echo chambers created by CA or other political marketing firms are bad for democracy, but you can co...
Remarkable Applications of Data Science
We are living in a time of slow yet steady insurgence of data science and AI in our lives. It spans more industries than we’d expect. Over the past decade, Data Science...
Data Science Lessons from the Apollo Moon Landing
Landing a man on the moon 50 years ago was a true feat of genius, and an outstanding collaboration between many different stakeholders with many differing individual agen...
Hiring Strategy – from Campus to Competition!
Who is Data Scientist? “Data Scientists are like bikinis. What they reveal is suggestive, but what they conceal is vital.” – Aaron Levenstein, business professor a...
Bayesian Machine Learning
Bayesian Machine Learning (part – 4) Introduction In the previous post we have learnt about the importance of Latent Variables in Bayesian modelling. Now starting f...