COM SCI X 450.41 - Machine Learning Using R
1044251537
Delivery Options
Online
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Course Description
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. This field is made possible due to the rapid and simultaneous evolution of available data, statistical methods, and computing power. Students 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. Machine learning algorithms can be divided into two main groups: supervised learners who are used to construct predictive models and unsupervised learners who are used to build descriptive models. Students learn the classification, numeric predictor, pattern detection, and clustering algorithms. Students learn to train a model, evaluate its performance, and improve its performance. Algorithm uses are illustrated with real-world cases, such as breast cancer diagnosis, spam filtering, identifying bank loan risk, predicting medical expenses, estimating wine quality, identifying groceries frequently purchased together, and finding teen market segments.Course Outline
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.Course Outline
By the end of this Course, successful participants will be able to:
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Collect data required for the machine learning algorithm
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Explore and prepare the data for the machine learning algorithm
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Select the appropriate machine learning algorithm for the data and proposed task
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Train a model on the data
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Evaluate the model performance
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Improve the model performance
Prerequisites
COM SCI X 450.1 Introduction to Data Science or consent of instructor.Applies Towards the Following Certificates
- Applications Programming : Elective Courses
- Data Science : Machine Learning Course
- Data Science with Concentration in Cybersecurity : Machine Learning Course
- Database Management : Electives
- Study Abroad at UCLA Program : Required
- Systems Analysis : Electives
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