During my school days, when I see a flight flying above , just curious to understand , from where to where it is flying, what would be its speed and at what height it is flying and details like that..
When my colleague Sanjay Saxena , a developer advocate @ IBM US Digital group updated me about a similar solution, I got excited and thought of quickly replicating it to have the experience of collecting the data from the flights flying above. Continue reading “Bluemix and Intel Edison powered Air Traffic Ground Station — Part1”
IoT in healthcare plays a prominent role in managing health of an individual. There are many solutions around this in terms of getting alert, predictive analytics , health card and things like that.
The basis for this is moving the data out to cloud for further data analytics.
In this blog, I will be describing how in quick 15 mins you can move your own pulse rate data to Watson IoT platform using the Mobile app developed by Lyfas (http://www.lyfas.com/)
Download the Lyfas Mobile App from playstore
Continue reading “Publish your Pulse to Cloud using Lyfas App – Powered by Watson IoT”
Level : Expert Data Scientist
Principal Component Analysis is one of the way of doing a linear dimensionality reduction , setting stage for the predictive analytics.
PCA is primarily applied on images where it is attempted to view the image in the lower dimension space to avoid high computational cost.
In this article, I have taken a data set with multi variable parameter and with different dimensional units. It is demonstrated how PCA plays a role in visually representing the multi-parameter and multi-unit variables. Continue reading “Principal Component Analysis on Open Data using IBM DSX – Environmental Water Quality !!”