ISBN: 9798295882432 - introduction of geometric algebra for machine learning and data science: a unified geometric framework for modern learning systems

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Introduction of Geometric Algebra for Machine Learning and Data Science (Paperback)

Sandi Setiawan

Lingua: Inglese

Editore: Self Publishing LLC, 2026

9798295882432

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Paperback. Condizione: new. Paperback. 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 This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

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

Sandi Setiawan

Lingua: Inglese

Editore: Self Publishing LLC, 2026

9798295882432

Brossura
Print on Demand

Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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Condizione: Nuovo

EUR 44,59

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Spedito da Germania a U.S.A.

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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…

Introduction of Geometric Algebra for Machine Learning and Data Science | A Unified Geometric Framework for Modern Learning Systems

Sandi Setiawan

Lingua: Inglese

Editore: Self Publishing LLC, 2026

9798295882432

Brossura
Print on Demand

Da: preigu, Osnabrück, Germaniapreigu

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Condizione: Nuovo

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Spedito da Germania a U.S.A.

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ISBN: 9798295882432 - introduction of geometric algebra for machine learning and data science: a unified geometric framework for modern learning systems (13 risultati)

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

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

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

Introduction of Geometric Algebra for Machine Learning and Data Science

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

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

Introduction of Geometric Algebra for Machine Learning and Data Science

Introduction of Geometric Algebra for Machine Learning and Data Science

Introduction of Geometric Algebra for Machine Learning and Data Science

Introduction of Geometric Algebra for Machine Learning and Data Science

Introduction of Geometric Algebra for Machine Learning and Data Science (Paperback)

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

Introduction of Geometric Algebra for Machine Learning and Data Science | A Unified Geometric Framework for Modern Learning Systems