Get started with machine learning. Learn how to separate training data from test data, prepare data for machine learning, perform supervised machine learning tasks, and more.
Mathematica 11 Machine Learning
This course may be unavailable.
Overview
Syllabus
Introduction
- Welcome
- What you should know
- Exercise files
- Overview of machine learning tasks
- Separate training data from test data
- Import data from a file
- Standardize (normalize) or rescale data
- Replace values near zero with zero
- Interpolate data to enter missing values
- Count values by adherence or non-adherence to a rule
- Group elements using a rule
- Sort elements using a rule
- Find a fit using a linear model
- Find a time series that fits given data
- Find a formula that represents a data set
- Find a function that generates a given sequence of values
- Calculate the logistic sigmoid function for a data set
- Classify items using training data
- Predict values using training data
- Measure classifier function performance
- Measure predictor function performance
- Identify data clusters
- Next steps
Taught by
Curt Frye
