Machine learning uses interdisciplinary techniques including statistics, linear algebra, optimization, and computer science to create automated systems that can sift through large volumes of data to make predictions or decisions. After taking this class, students will know what problems machine learning can solve and apply the algorithms to them. Students will also clean up data sets, organize them into training and testing sets and find the model that best fits the data. Examples of these models include improving search engines, email spam filters, face recognition, and product recommendations.
There are no industry connections yet because the class is too new.
Machine Learning Honors is an elective class in the pathway, and it is the only course of its kind offered in the Sacramento area.
There are no student testimonials yet because the class is too new.