From detecting objects, medical diagnosis, speech, and handwriting recognition to automated trading and movie recommendations, machine learning techniques are being used to make critical business and life decisions every moment of the day. Each machine learning problem is unique, so it can be challenging to manage raw data, identify key features that impact your model, train multiple models, and perform model assessments. In this session we explore the fundamentals of machine learning using MATLAB. You will learn about several machine learning techniques available in MATLAB and how to quickly explore your data, evaluate machine learning algorithms, compare the results, and apply the best technique to your problem.
In this presentation, we will:
• Access, explore, analyze, and visualize data in MATLAB
• Train, evaluate and compare a range of machine learning models
• Perform model assessment and model comparisons
• Run multiple models using parallel computing
• Document process in a report