Content-Based Filtering
- Suggests items similar to what user liked before.
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Edge AI
- Runs AI directly on phones or IoT gadgets.
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Hybrid System
- Combines collaborative and content methods.
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Cloud AI
- Uses cloud platforms for scalable AI training.
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Anomaly Detection
- Finds unusual events like fraud or errors.
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AutoML
- AI that designs and tunes other AI models automatically.
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Outlier
- A value that differs greatly from others.
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MLOps
- Combines DevOps and ML for production workflows.
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Autoencoder
- Learns to recreate inputs, useful for denoising or anomaly detection.
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