
Anomaly detection of energy consumption
Various levels of energy consumption at different locations are used for Time Series analysis and detect anomalies using Azure ML
At IoTtoAnalytics our primary goal is to transform small and midsize companies to realize the benefits of IoT at affordable cost. This guiding principle has always been innate with our founders and helps us continue to strive and help accomplish those goals. We firmly believe in providing value to our Customers through smarter connected devices and building an intelligent and self-service analytical solution across various assets.
Various levels of energy consumption at different locations are used for Time Series analysis and detect anomalies using Azure ML
Daily Tweets on feeling, collected using Azure Streaming Analytics and analyzed for various sentiments using multiple R-packages.
High level analysis on various Auto collisions in New York city in 2017 are presented using different modules of Azure ML.
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