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...
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. ...
Leveraging the benefits of effective data preparation to help build a modern ERP system is a vital component in innovating an organization’s data workflow systems. ...
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...
Background Containerize your Apps with Docker and Kubernetes is an excellent free book from Gabriel N. Schenker You can download the whole book by registering HERE In thi...