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Quick Glossary: Machine Learning

Last Updated: November 4, 2024
Format: PDF

Machine learning is shaping the future of work and society by automating tasks, making data-driven decisions, and enhancing efficiency.

Maria Carrisa Sanchez, writing for TechRepublic Premium, presents this quick glossary of 53 key terms and concepts to help your understanding of this vital subject.

  • From the glossary:

    Autoencoder

    A type of neural network used in unsupervised machine learning that is designed to learn a compressed representation or encoding of its input data. Its main goal is to map the input data to a lower-dimensional representation and then reconstruct the input data from this lower-dimensional representation, aiming to reduce the reconstruction error.

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