Separating training data from test data Importing data from a file Preparing data for machine learning Grouping and sorting elements using a rule Determining functions that generate data Finding a fit using a linear model Performing supervised learning tasks Classifying items using training data Identifying data clusters
Learn how to analyze data using the machine learning capabilities built into Mathematica 11. In this course, Curt Frye provides an overview of machine learning tasks, explains how to separate training data from test data, and shows how to import data from a file. He also demonstrates how to prepare data for machine learning, including how to replace values near zero with zero and sort elements using a rule. Curt also covers determining functions that generate data and performing supervised machine learning tasks.