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Advanced Machine Learning with R - Online Course

An 8-Hour 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)

This is one of two seminars offered by Professor Jacobucci on advanced machine learning methods. While this seminar aims to provide you with the core knowledge needed to apply and evaluate advanced algorithms, the other seminar, Applied Deep Learning using Python, focuses on applying deep learning algorithms to text and image data, along with insight into how deep learning methodologies can shape the design of studies. Register for one or both.

Machine learning (i.e., artificial intelligence, big data, supervised learning, data science) has enormously impacted academic research and industry. Machine learning algorithms have transformed the analysis of extensive datasets, empowering us to uncover deeper insights and make more informed decisions by leveraging advanced data processing and pattern recognition capabilities.

While machine learning has become more widely available and easier to use, it presents several challenges, including preventing overfitting, interpreting the results it produces, and dealing with the inevitable issues that arise from analyzing diverse data types. At its core, most machine learning applications involve applying complex algorithms to predict a single outcome, with more advanced applications often only requiring slight modifications. This course aims to provide each participant with the core knowledge needed to apply and evaluate advanced algorithms.

Starting May 1, we are offering this seminar as an 8-hour synchronous*, livestream workshop held via the free video-conferencing software Zoom. Each day will consist of two 2-hour lecture sessions which include hands-on exercises, separated by a 30-minute 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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