Monday, February 19, 2018

Detect change points in IoT sensor data

In statistical analysis, time series data consists of a sequence of data points that you can monitor and analyze over time: stock market closing values, daily high and low temperatures, social media posts. This developer journey shows you how to use IoT sensor data, IBM® Data Science Experience, and R software for statistical computing to analyze the data and detect change points


Detect Change points in IoT sensor data
Code and Documentation
Walk through video

Advanced Analytics Applications in IoT

In today’s world of Internet of things(IoT) everywhere, the real benefit of IoT comes not just with inter connecting more and more devices, but in our ability to harness this data to take quicker decisions leading to accurate and timely actions by leveraging Advanced Analytics.
Advanced Analytics has become a key driving factor to define the success of a company irrespective of either the Business is a Corporate or a Boutique startup.

Read more here....