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Advanced Machine Learning - Online Course

A 4-Day Livestream Seminar Taught by

Ricardo Vilalta
Course Dates:

Tuesday, July 18–
Friday, July 21, 2023

Schedule: All sessions are held live via Zoom. All times are ET (New York time).

10:30am-12:30pm (convert to your local time)

Machine Learning is the study of how to build computer systems that learn from experience. It is a subfield of Artificial Intelligence and intersects with statistics, cognitive science, information theory, and probability theory. Machine learning is one of the most exciting research areas today; it is becoming increasingly popular and a cornerstone in many industrial applications. For example, the computer industry is heading towards systems that can adapt and heal themselves automatically; the electronic game industry is now focusing on games where characters adapt and learn through time; and NASA is interested in robots able to adapt to any environment autonomously.

This course will address modern topics in machine learning, including neural networks, autoencoders, adversarial networks, active learning, meta-learning, clustering, and association rule mining. Attention will be given to both supervised and unsupervised learning. By the end of the course, you will have a solid understanding of how to build computer systems that learn from experience.

This course is split between lecture and “hands on” practical sessions that feature programming exercises in R. These exercises will help you learn how to pre-process, augment, and cleanse data; find patterns in data used to build predictive models; and report results using different performance metrics. You will learn how to vary model complexity to maximize performance and will be able to interpret a variety of results.

Starting July 18, we are offering this seminar as a 4-day synchronous*, livestream workshop held via the free video-conferencing software Zoom. Each day will consist of two lecture sessions which include hands-on exercises, separated by a 1-hour break. You are encouraged to join the lecture live, but will have the opportunity to view the recorded session later in the day if you are unable to attend at the scheduled time.

*We understand that finding time to participate in livestream courses can be difficult. If you prefer, you may take all or part of the course asynchronously. The video recordings will be made available within 24 hours of each session and will be accessible for four weeks after the seminar, meaning that you will get all of the class content and discussions even if you cannot participate synchronously. 

Closed captioning is available for all live and recorded sessions. Live captions can be translated to a variety of languages including Spanish, Korean, and Italian. For more information, click here.


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