Machine learning is ubiquitous and used to make critical business and life decisions every 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.
This session explores the fundamentals of machine learning using MATLAB®. Rory reviews typical workflows for both supervised (classification and regression) and unsupervised learning, through examples.
This presentation demonstrates examples of new functionality in Statistics and Machine Learning Toolbox™ and Deep Learning Toolbox™.
This video is a short version of the presentation given at MATLAB EXPO. To watch the full-length video, see the link in the "Other Resources" section below.
Recorded: 7 Oct 2015
Select a Web Site
Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select: .Select web site
You can also select a web site from the following list:
Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location.