Statistical Models for the Internet of Things
Training Provider: NATIONAL UNIVERSITY OF SINGAPORE
Course Reference: TGS-2025057670
S$850
Original: S$1,700
Save S$850
About This Course
At the end of the course, participants will be able to apply simple statistical methods to analyse and understand IoT data to make predictions and diagnoses.
What You'll Learn
In this course, participants will look at the various statistical methods that can be used to process Internet of Things (IoT) data in order to make predictions or to make diagnoses on the data. Topics covered include Autoregressive Moving Average (ARMA) and Autoregressive Integrated Moving Average (ARIMA) models, simple linear regression, multivariate linear regression, nonlinear regression, Bayesian models, Decision Trees and Support Vector Machines.
Entry Requirements
Minimum of a Diploma with programming knowledge
Course Details
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