Machine Learning Using R
COM SCI X 450.41
Learn machine learning origins, principles, and practical applications, as well as implementation via the R programming language. Students will learn to train a model, evaluate its performance, and improve its performance.
What you can learn.
- Collect, explore, visualize, and prepare data for machine learning problems using R
- Understand how machine learning algorithms make predictions
- Identify appropriate machine learning algorithms for your project
- Train, evaluate, monitor, and improve machine learning models
- Implement machine learning solutions
About this course:
This course introduces machine learning using R. Students will learn structured and unstructured data processing, linear regression modeling and non-linear modeling methods used in machine learning algorithm development, optimization techniques, neural networks, and deep learning.
Prerequisites
COM SCI X 450.1 Introduction to Data Science or consent of instructor.
This course applies towards the following certificates & specializations…
Corporate Education
Learn how we can help your organization meet its professional development goals and corporate training needs.
Donate to UCLA Extension
Support our many efforts to reach communities in need.