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Wolfram Language for Machine Learning and A.I.

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Training/Workshop Programming Languages Research & Data Analysis Undergraduate Research

Wed, Jan 21, 2026

1 PM – 2:30 PM EST (GMT-5)

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Details

This workshop will cover state-of-the-art tools for automated machine learning, data preparation, feature extraction, and building or modifying neural networks. We'll highlight practical applications ranging from image classification and natural language processing to time-series analysis, demonstrating how the Wolfram system simplifies the entire ML pipeline from research to deployment.

Speakers

Phileas Dazeley-Gaist's profile photo

Phileas Dazeley-Gaist

Wolfram Research

Phileas Dazeley-Gaist is a human ecology specialist and developer at Wolfram Research, with expertise in geospatial computing, environmental science, and complexity science. They have a strong commitment to advancing education and research through innovative applications of the Wolfram Language, particularly in ecological and data science contexts.

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Co-hosted with: GradFUTURES