RUC Practical AI Class
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- United States of America
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development-environment-setup
development-environment-setup PublicThis tutorial provides information on setting up a basic development environment for RUC's Practical AI class.
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fall-2024-class-01
fall-2024-class-01 PublicLecture notes for the Class 01 for RUC's Fall 2024 Practical AI class
Jupyter Notebook 1
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codespaces-tutorial
codespaces-tutorial PublicThis tutorial provides information on how to use GitHub's CodeSpaces.
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fall-2024-class-02
fall-2024-class-02 PublicBrief review of important papers and milestones in modern AI.
JavaScript 2
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fall-2024-class-03
fall-2024-class-03 PublicReview of common tools we will use for Practical AI.
Jupyter Notebook 1
Repositories
- fall-2024-class-06 Public
This class reviews sources of noise and bias when collecting data to use in ML projects.
- fall-2024-class-10 Public
This class reviews topics in AI robustness, with an emphasis on adversarial examples
- exam-template Public template
Template for exam repositories with dependencies for machine learning problems.
- fall-2024-class-08 Public
This repository shows the effect that preprocessing, postprocessing, and other best practices can have on machine learning results.
- minimal-lecture-template Public
Template for lecture notes with minimal memory usage and dependencies.
- data-loaders Public
This repository contains code showing how to generate and load classical and modern datasets for machine learning.
- fall-2024-class-07 Public
This class reviews the practical steps involved in formulating a machine learning project.
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