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Course introduces easy-to-use machine learning superfunctions in Wolfram Language. Perform supervised and unsupervised learning tasks with a few lines of code. Covers artificial intelligence, regression, classification, clustering and anomaly detection.
This course introduces some of the basic concepts of machine learning as well as easy-to-use machine learning superfunctions available in Wolfram Language. You will learn how to perform supervised and unsupervised learning tasks with just a few lines of code. We will start with examples of different types of machine learning and then move on to more details on performing machine learning with labeled and unlabeled data. Examples demonstrate regression, classification, clustering and anomaly detection. Basic familiarity with Wolfram Language or introductory-level skill in any programming language is recommended.
This course introduces some of the basic concepts of machine learning as well as easy-to-use machine learning superfunctions available in Wolfram Language. You will learn how to perform supervised and unsupervised learning tasks with just a few lines of code. We will start with examples of different types of machine learning and then move on to more details on performing machine learning with labeled and unlabeled data. Examples demonstrate regression, classification, clustering and anomaly detection. Basic familiarity with Wolfram Language or introductory-level skill in any programming language is recommended.
