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The first module of this course introduces some fundamentals of AI and ML including their relationship, different types of data, training and testing, common types of learning techniques (supervised and unsupervised learning) and applications (regression, classification, and clustering). The second module introduces some commonly used machine learning algorithms.
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Fill out the information below, then click Next to continue.
If you are registering as a TAMUS Member, please use your System email address as your participant email address.