https://ift.tt/q0Da5vT How do machines discover the most relevant information from millions of records of big data? They use embeddings – v...
How do machines discover the most relevant information from millions of records of big data? They use embeddings – vectors that represent meaning from text, images, or audio files. Embeddings allow computers to compare and ultimately understand more complex forms of data by giving their relation a measure in mathematical space. But how do we […]
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