Detailed Course Information

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INT 6203 - Introduction to Machine Learning
This course provides the concepts, the fundamentals, the intuitions, the basic algorithms and the tools for data representation and analysis, including data pre-processing, data exploration, model evaluation, dimensionality reduction, supervised and unsupervised machine learning algorithms. This course focuses on the machine learning cycle to implement intelligent models capable of learning from data. Students develop the skills and strategies that are necessary for effective learning from data. 3.000 Credit hours 45.000 Lecture hours 2.000 Other hours Levels: Graduate Schedule Types: 100% course online, Lecture Academic Division Management Department Course Attributes: CoBIT - Graduate Prerequisites: Graduate level MBA 6103 Minimum Grade of C- and Graduate level INT 6103 Minimum Grade of C-

INT 6203 - Introduction to Machine Learning

This course provides the concepts, the fundamentals, the intuitions, the basic algorithms and the tools for data representation and analysis, including data pre-processing, data exploration, model evaluation, dimensionality reduction, supervised and unsupervised machine learning algorithms. This course focuses on the machine learning cycle to implement intelligent models capable of learning from data. Students develop the skills and strategies that are necessary for effective learning from data.
3.000 Credit hours
45.000 Lecture hours
2.000 Other hours

Levels: Graduate
Schedule Types: 100% course online, Lecture

Academic Division
Management Department

Course Attributes:
CoBIT - Graduate

Prerequisites:
Graduate level MBA 6103 Minimum Grade of C- and Graduate level INT 6103 Minimum Grade of C-

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Detailed Course Information

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