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...
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...
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 (part – 4) Introduction In the previous post we have learnt about the importance of Latent Variables in Bayesian modelling. Now starting f...
Today, businesses need to be able to predict demand and trends to stay in line with any sudden market changes and economy swings. This is exactly where forecasting tools,...
Mobile health (mHealth) is considered one of the most transformative drivers for health informatics delivery of ubiquitous medical applications. Machine learning has prov...
Neural networks have made significant leaps in the image and natural language processing (NLP) recently. They’ve not only learned to recognize, localize and segment ima...
The amount of data generated today is astonishing. Research published by Seagate reports that by 2025, around 175 Zettabytes of data will be generated on an annual base. ...
In fact, the business plans of the next 10,000 startups are easy to forecast: Take X and add AI. Find something that can be made better by adding online smartness to it &...
It finally happened. Your star analyst, beloved by the business for producing those top-notch analytics, just flew the nest. Talent moves; every analytic team has dealt...