Machine learning
3 ideas, each explained on one page with a 60-second lesson you can play right there.
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Embedding (machine learning)
An embedding is a list of numbers that represents complex data like words or images so a computer can work with them mathematically.
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Self-Supervised Learning
Self-supervised learning trains AI models by turning raw data into its own practice tests, bypassing the need for manual human labeling.
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Transformer (machine learning)
Transformers process entire sequences at once using self-attention and positional encodings, replacing sequential neural networks.