Machine Learning and AI Foundations: Decision Trees with SPSS.
(Online Course)
Author
Contributors
Published
Carpenteria, CA linkedin.com, 2017.
Format
Online Course
Status
Description
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Language
English
Notes
General Note
3/03/201712:00:00AM
Participants/Performers
Presenter: Keith McCormick
Description
Establish a strong foundation in ML by exploring the IBM SPSS Modeler and learning about CHAID and C&RT. This course is designed to help expand your data science skills.
Description
Many data science specialists are looking to pivot toward focusing on machine learning. This course covers the essentials of machine learning, including predictive analytics and working with decision trees. Explore several popular tree algorithms and learn how to use reverse engineering to identify specific variables. Demonstrations of using the IBM SPSS Modeler are included so you can understand how decisions trees work. This course is designed to give you a solid foundation on which to build more advanced data science skills.
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)
McCormick, K. (2017). Machine Learning and AI Foundations: Decision Trees with SPSS . linkedin.com.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)McCormick, Keith. 2017. Machine Learning and AI Foundations: Decision Trees With SPSS. linkedin.com.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)McCormick, Keith. Machine Learning and AI Foundations: Decision Trees With SPSS linkedin.com, 2017.
MLA Citation, 9th Edition (style guide)McCormick, Keith. Machine Learning and AI Foundations: Decision Trees With SPSS 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.