This course starts with Inferential Data Analytics for IOT. It covers some broad techniques for handling summaries of data as in IOT data including sampling and sketching. It covers Reservoir Sampling -
A popular concise technique for sampling streams of IOT data. And also covers popular hashing and sketching techniques for streaming data including Min-Count Sketching and Reservoir Sampling. The course next moves to Predictive IOT analytics via IOT Data Classification. It deals with Supervised Learning and Classification by covering a brief of classification approaches as used in IOT data. It then moves to a detailed analysis of streaming decision trees-based classification technique for streaming IOT data. Finally the course concludes with a Demo of streaming classification using MOA toolkit.
- Understanding IOT Architecture and IOT Analytics Data Science Life Cycle.