Articoli correlati a Introduction of Geometric Algebra for Machine Learning...

Introduction of Geometric Algebra for Machine Learning and Data Science: A Unified Geometric Framework for Modern Learning Systems - Brossura

Setiawan, Sandi

 
9798295882432: Introduction of Geometric Algebra for Machine Learning and Data Science: A Unified Geometric Framework for Modern Learning Systems
Brossura
ISBN 13: 9798295882432
Casa editrice: Self Publishing LLC, 2026

Sinossi

What if machine learning could be understood geometrically?

This book presents a unified geometric perspective on machine learning, statistics, and data science through the language of geometric algebra.

From linear models and principal component analysis to neural networks, attention mechanisms, and time series systems, modern methods are reinterpreted as geometric transformations in n-dimensional spaces.

Rather than treating techniques as isolated tools, this book reveals the common structure underlying them: movement, orientation, and shape.

- Connects machine learning methods through geometry

- Covers PCA, neural networks, attention, and time series

- Includes PyTorch implementations

- Bridges theory and real-world applications

- Emphasizes intuition over formalism

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Editore
Self Publishing LLC
Data di pubblicazione
2026
Lingua
Inglese
ISBN 13 
9798295882432
Rilegatura
Copertina flessibile
Numero di pagine
240
Contatto del produttore
non disponibile
Persona responsabile
gpsr@libri.de
gpsr@libri.de

Europaallee 1
Bad Hersfeld
36244
Germania