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Advanced Machine Learning - Online Course

A 4-Day Livestream Seminar Taught by

Ross Jacobucci
Course Dates: Ask about upcoming dates
Schedule: All sessions are held live via Zoom. All times are ET (New York time).

10:30am-12:30pm (convert to your local time)
1:30pm-3:00pm

Machine learning–including artificial intelligence, big data, supervised learning, and data science–has had an enormous impact in both academic research and industry. Development of innovative machine learning algorithms has been paired with the availability of large datasets and has facilitated the collection of even larger datasets, often times containing novel data types (e.g., text).

While machine learning has become increasingly easy to apply in many programming languages, it also presents a number of challenges; specifically, how to interpret the relationships between variables, how to prevent overfitting, and how to deal with the inevitable issues that arise from collecting diverse data types.

This seminar builds off of introductory materials on machine learning, assuming a basic familiarity with the ideas behind regularization in regression, cross-validation, and decision trees.

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.

More details about the course content

Computing

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