Program Overview

Machine Learning Using R

Course Description

The Machine Learning Using R course introduces machine learning using R, covering structured and unstructured data processing, linear regression modeling, non-linear modeling methods, optimization techniques, neural networks, and deep learning. Students will learn the origins and practical applications of machine learning, how knowledge is defined and represented by computers, and the basic concepts that differentiate machine learning approaches.

Course Details

• Course Code: COM SCI X 450.41
• Duration: As few as 2 weeks
• Units: 4.0
• Formats: In Person, Online
• Cost: Starting at $1,095.00
• Availability: Typically available in Fall, Winter, Spring, and Summer

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

Prerequisites

• A foundational understanding of coding, particularly in R, is necessary for success in this course.
• Introduction to Data Science to acquaint yourself with the basic principles of data science.
• Statistics Background: In case you lack proficiency in statistics, we recommend enrolling in a course such as Introduction to Statistical Reasoning.

Schedule

• Future Offering: June 25 - July 2, with no set meeting times, in-person at UCLA, fee: $1,095.00
• Future Offering: June 22 - August 31, with no set meeting times, online, fee: $1,100.00

Programs This Course Applies To

• Data Science Certificate: Learn to leverage the power of big data to extract insights and improve decision making for real-world problems.
• Data Science with Concentration in Cybersecurity Certificate: Learn how to harness the power of big data and protect technological infrastructures in this nine-course certificate program.