theoretical foundations dimensionality reduction data di continental academy press (1 risultati)

Softcover. Condizione: New. Condizione sovraccoperta: no dj. First. Theoretical Foundations of Dimensionality Reduction in Data Science examines the mathematical principles underlying techniques for simplifying complex datasets. The book discusses algorithms such as PCA, t-SNE, and autoencoders, providing a deep understanding of their theoretical basis and practical applications. It emphasizes the importance of reducing data dimensions to improve computational efficiency and visualization. This work is essential for data scientists and researchers aiming to optimize data analysis and extract meaningful insights from high-dimensional data. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.