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.

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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.