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Zustand: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Zustand: New.

paperback. Zustand: New.

Zustand: New.

Zustand: New.

Zustand: New. New Book.

hardcover. Zustand: New.

PAP. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Hardcover. Zustand: new. Hardcover. Black are not merely cosmic sinks they are engines. This book reveals that three seemingly different mechanisms particle splitting, wave and electromagnetic extraction are deeply unified by a single physical principle: the reversal of energy flow in curved spacetime. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Zustand: 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 multiple locations in the US or from the UK, depending on stock availability.

PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Zustand: Neu. Neuware.

Paperback. Zustand: new. Paperback. Black are not merely cosmic sinks they are engines. This book reveals that three seemingly different mechanisms particle splitting, wave and electromagnetic extraction are deeply unified by a single physical principle: the reversal of energy flow in curved spacetime. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Hardcover. Zustand: new. Hardcover. 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 multiple locations in the US or from the UK, depending on stock availability.

HRD. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Zustand: new. Paperback. Where number theory becomes spacetime.Across mathematics and physics, few ideas have been as tantalizing-and as elusive-as the possibility that the deep structure of the universe is secretly arithmetic. The Primacohedron gives shape to this intuition: an adelic, spectral, and geometric framework in which the prime numbers act not as abstract multiplicative atoms, but as the fundamental oscillators of time, curvature, and information.Drawing from p-adic string theory, p-adic geometry, perfectoids, random-matrix universality, quantum chaos, geometric algebra, and cohomological machinery, this book weaves a unified picture of emergent spacetime built from prime-indexed resonance modes. The resulting framework provides new conceptual bridges between the Riemann zeta function, spectral geometry, holography, black-hole microstructure, cosmology, and the arithmetic landscape of the abc conjecture.Unlike traditional approaches in theoretical physics, The Primacohedron posits that spacetime is not an assumed geometric arena, but a learned, self-organizing, adelically coherent spectral object. Entanglement, curvature, complexity, and thermodynamics arise not as external postulates, but as consequences of arithmetic consistency conditions linking all primes. Along the way, the book develops algorithmic learning flows (Corridor Zero/One), tensor-network interpretations, motivic extensions, and a full cohomological superstructure. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Paperback. Zustand: new. Paperback. Where number theory becomes spacetime.Across mathematics and physics, few ideas have been as tantalizing-and as elusive-as the possibility that the deep structure of the universe is secretly arithmetic. The Primacohedron gives shape to this intuition: an adelic, spectral, and geometric framework in which the prime numbers act not as abstract multiplicative atoms, but as the fundamental oscillators of time, curvature, and information.Drawing from p-adic string theory, p-adic geometry, perfectoids, random-matrix universality, quantum chaos, geometric algebra, and cohomological machinery, this book weaves a unified picture of emergent spacetime built from prime-indexed resonance modes. The resulting framework provides new conceptual bridges between the Riemann zeta function, spectral geometry, holography, black-hole microstructure, cosmology, and the arithmetic landscape of the abc conjecture.Unlike traditional approaches in theoretical physics, The Primacohedron posits that spacetime is not an assumed geometric arena, but a learned, self-organizing, adelically coherent spectral object. Entanglement, curvature, complexity, and thermodynamics arise not as external postulates, but as consequences of arithmetic consistency conditions linking all primes. Along the way, the book develops algorithmic learning flows (Corridor Zero/One), tensor-network interpretations, motivic extensions, and a full cohomological superstructure. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Zustand: 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.

Paperback. Zustand: 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 Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Zustand: new. Hardcover. Black are not merely cosmic sinks they are engines. This book reveals that three seemingly different mechanisms particle splitting, wave and electromagnetic extraction are deeply unified by a single physical principle: the reversal of energy flow in curved spacetime. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Zustand: new. Hardcover. Black are not merely cosmic sinks they are engines. This book reveals that three seemingly different mechanisms particle splitting, wave and electromagnetic extraction are deeply unified by a single physical principle: the reversal of energy flow in curved spacetime. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Zustand: new. Hardcover. 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.

Hardcover. Zustand: new. Hardcover. 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 Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Where number theory becomes spacetime.Across mathematics and physics, few ideas have been as tantalizing-and as elusive-as the possibility that the deep structure of the universe is secretly arithmetic. The Primacohedron gives shape to this intuition: an adelic, spectral, and geometric framework in which the prime numbers act not as abstract multiplicative atoms, but as the fundamental oscillators of time, curvature, and information.Drawing from p-adic string theory, p-adic geometry, perfectoids, random-matrix universality, quantum chaos, geometric algebra, and cohomological machinery, this book weaves a unified picture of emergent spacetime built from prime-indexed resonance modes. The resulting framework provides new conceptual bridges between the Riemann zeta function, spectral geometry, holography, black-hole microstructure, cosmology, and the arithmetic landscape of the abc conjecture.Unlike traditional approaches in theoretical physics, The Primacohedron posits that spacetime is not an assumed geometric arena, but a learned, self-organizing, adelically coherent spectral object. Entanglement, curvature, complexity, and thermodynamics arise not as external postulates, but as consequences of arithmetic consistency conditions linking all primes. Along the way, the book develops algorithmic learning flows (Corridor Zero/One), tensor-network interpretations, motivic extensions, and a full cohomological superstructure.

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