christianwarmuth/openhpi-kipraxis
Materialien zum openHPI Online-Kurs "Künstliche Intelligenz und Maschinelles Lernen in der Praxis"
This provides hands-on learning materials for understanding how Machine Learning, Neural Networks, and AI are applied in real-world scenarios. It takes you from basic concepts to practical projects like recognizing sign language from images and analyzing sentiment in newspaper articles, using Jupyter and Google Colab notebooks. It's designed for young people and other interested individuals without prior programming experience or technical background who want to grasp the practical application of AI.
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Use this if you are a non-technical learner curious about how Machine Learning projects are actually built and implemented, rather than just the theoretical concepts.
Not ideal if you are an experienced developer looking for an advanced, code-heavy deep learning library or framework.
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35
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Language
Jupyter Notebook
License
MIT
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Last pushed
Oct 30, 2021
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