USF Data Science Speaker Series

We’re thrilled to welcome Josh Starmer back to the USF Data Science Speaker Series!

Description:
Although more people are familiar with generative AI tools based on Decoder-Only Transformers like ChatGPT, Encoder-Only Transformers, like BERT, can be much more useful. Encoder-Only Transformers are the backbone for RAG (retrieval augmented generation), sentiment analysis and classification problems, and clustering. In this talk, we’ll cover the main ideas behind the different types of Transformers and then illustrate practical use cases for Encoder-Only Transformers.

About the Speaker:
Josh Starmer is the person behind the popular YouTube channel, “StatQuest with Josh Starmer.” Since 2016, Josh has used an innovative and unique visual style to clearly explain Statistics, Data Science and Machine Learning concepts and algorithms to curious people all over the world. Rather than dumb down the material, Josh brings people up with simple examples worked through, step-by-step, using pictures to make sure every main idea is easy to understand and remember. By breaking down even the most complicated algorithms into bite sized pieces, StatQuest has helped people, all over the world, win data science competitions, pass exams, graduate from school, and get jobs and promotions.

Whether you’re a student, a professional, or just a curious learner, this talk will be packed with practical insights and actionable knowledge.

RSVP now to secure your spot!

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