Category: Machine Learning

Author: Becky Ham | MIT Media Lab Children with autism spectrum conditions often have trouble recognizing the emotional states of people around them — distinguishing […] Read More

Author: Jason Brownlee Statistics is a collection of tools that you can use to get answers to important questions about data. You can use descriptive […] Read More

Author: Jason Brownlee Statistics and machine learning are two very closely related fields. In fact, the line between the two can be very fuzzy at […] Read More

Author: Jason Brownlee Systematic experimentation is a key part of applied machine learning. Given the complexity of machine learning methods, they resist formal analysis methods. […] Read More

Author: Jason Brownlee Comparing machine learning methods and selecting a final model is a common operation in applied machine learning. Models are commonly evaluated using […] Read More

Author: Rob Matheson | MIT News Office Medical image registration is a common technique that involves overlaying two images, such as magnetic resonance imaging (MRI) […] Read More

Author: Jennifer Chu | MIT News Office Have you ever plugged in a vacuum cleaner, only to have it turn off without warning before the […] Read More

Author: Jason Brownlee A common problem in applied machine learning is determining whether input features are relevant to the outcome to be predicted. This is […] Read More

Author: Mary Beth O’Leary | Department of Mechanical Engineering With the push of a button, months of hard work were about to be put to […] Read More

Author: Jason Brownlee Data summarization provides a convenient way to describe all of the values in a data sample with just a few statistical values. […] Read More