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Tutorials, research write-ups, and behind-the-scenes from our team.
Blog posts

Research
What Makes a Useful Representation? Geometry, Factors, Relations, and Abstraction in Machine Learning
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Mathematics and Statistics for Computer Science and Engineering Students
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Guide
Roadmap to Data Science
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Self supervised learning: non-contrastive
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Self supervised learning – Contrastive loss
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Guide
Introductory slides on AI (and ML) used in our introduction to AI course
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Topics in Linear Algebra for Data Analysis
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Creating An Open-AI Gym Like Environment For Bangladeshi Game Shologuti Using Unity 3D And MLAgents
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Do Computer Scientists need to “Learn” Calculus of Variations?
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ACM SIGCHI WINTER SCHOOL, 2024
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Markov Random Field
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Gaussian Process Regression
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