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Applied Deep Learning with Python - 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 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, the other seminar, Advanced Machine Learning with R aims to provide you with the core knowledge needed to apply and evaluate advanced algorithms. Register for one or both.

Machine learning has revolutionized the collection and analysis of complex data types such as text, images, and videos. To extract meaningful insights from these data, it has become essential to move beyond conventional statistical methods and embrace the advanced capabilities of deep learning architectures, particularly neural networks. Python is currently the dominant programming language for research and applications using deep learning due to its rich ecosystem of algorithms and robust community support.

This workshop provides hands-on experience in applying deep learning algorithms to text and image data and insight into how deep learning methodologies, such as reinforcement learning, can shape the design of studies, providing guidance on their integration into research methodologies.

Starting May 8, 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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