Названия:
THE APPLICATION OF TENSOR ANALYSIS IN DATA PROCESSING AND MACHINE LEARNING
Автор:
Maral Soltyyeva
Расположение страниц:
17-19
Язык:
Аннотация:
Tensor analysis is a mathematical framework that generalizes vectors and matrices to higher-dimensional data structures. It plays a crucial role in data processing and machine learning, particularly when dealing with complex, multi-dimensional data. This article explores the application of tensor analysis in various aspects of data processing, such as feature extraction, dimensionality reduction, and data compression. It also delves into how tensor-based techniques are used in machine learning models, especially in deep learning, multi-task learning, and multi-modal learning.