Mathematica 11 Machine Learning.
(Online Course)
Author
Contributors
Published
Carpenteria, CA linkedin.com, 2017.
Format
Online Course
Status
Description
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Language
English
Notes
General Note
4/21/201712:00:00AM
Participants/Performers
Presenter: Curt Frye
Description
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.
Description
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.
System Details
Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection.
Citations
APA Citation, 7th Edition (style guide)
Frye, C. (2017). Mathematica 11 Machine Learning . linkedin.com.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Frye, Curt. 2017. Mathematica 11 Machine Learning. linkedin.com.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Frye, Curt. Mathematica 11 Machine Learning linkedin.com, 2017.
MLA Citation, 9th Edition (style guide)Frye, Curt. Mathematica 11 Machine Learning linkedin.com, 2017.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.