AI Uncovered
AI Uncovered: A Comprehensive Guide to AI Basics and Applications
- Documentation: https://chu-aie.github.io/aibasics
- GitHub: https://github.com/chu-aie/aibasics
- PyPI: https://pypi.org/project/aibasics
AI Uncovered is a 15-week, beginner-friendly course in Korean, designed to provide a comprehensive introduction to artificial intelligence (AI) and its real-world applications. Students will explore various AI concepts and techniques, such as machine learning, deep learning, natural language processing, and object detection. The course includes hands-on lab sessions using Google Colab, allowing students to practice what they've learned. By the end, students will have a solid understanding of AI fundamentals and be prepared for an AI-driven future.
Changelog
See the CHANGELOG for more information.
Contributing
Contributions are welcome! Please see the contributing guidelines for more information.
License
This project is released under the CC-BY-4.0 License.
1 maintainer
Metadata
1 maintainer
Release files for aibasics 0.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| aibasics-0.2.1.tar.gz | 12.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| aibasics-0.2.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 28.5 kB
Release files / aibasics-0.2.1.tar.gz
| Download URL | aibasics-0.2.1.tar.gz |
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| Size | 12.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / aibasics-0.2.1-py3-none-any.whl
| Download URL | aibasics-0.2.1-py3-none-any.whl |
|---|---|
| Size | 15.8 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
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