Description:

Engineers and data scientists work with large amounts of data in a variety of formats such as sensor, image, video, telemetry, databases, and more. They use machine learning to find patterns in data and to build models that predict future outcomes based on historical data. In this session we explore the fundamentals of machine learning using MATLAB. We introduce machine learning techniques available in MATLAB to quickly explore your data, evaluate machine learning algorithms, compare the results and apply the best technique to your problem.

Highlights include:

Training, evaluating and comparing a range of machine learning models
Using refinement and reduction techniques to create models that best capture the predictive power of your data
Running predictive models in parallel using multiple processors to expedite your results
Deploying your models in a variety of formats