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This course is an overview of machine learning methodologies and algorithms, applicable to various fields that serves as a foundation for participants to attend other advanced courses in a specific field. The course covers background knowledge about types of machine learning approaches, evaluation metrics, machine learning algorithms, software tools that may be used in several fields. Topics include theoretical concepts and practical aspects related to the application of machine learning tools to real problems. The course comprises theoretical sessions and practical sessions, in which attendees will have the opportunity to apply the various algorithms and techniques to several specific situations. Attendees will develop a project in which they will select and apply a set of machine learning tools to solve a proposed challenge.
Detailed information about this advanced course (including summary/description of the course, calendar, study plan, registration details, contacts, among other information) is available on the Advanced Courses website: Introduction to Machine Learning
Registration of Advanced Course: Registration Form
Registrations are available until April 15, 2021.
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