Quick Glossary: Machine Learning
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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