Introduction of Geometric Algebra for Machine Learning and Data Science (Hardcover)
Language: English
Published by Self Publishing LLC, 2026
- Hardcover
- New
Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
AbeBooks seller since June 22, 2007
Condition: New
£ 46.81
Quantity: 1 available
Add to basketItem description from seller
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.
Seller Inventory # 9798295882890
- Title
- Introduction of Geometric Algebra for Machine Learning and Data Science (Hardcover)
- Author
- Sandi Setiawan
- Publisher
- Self Publishing LLC
- Publication year
- 2026
- Condition
- new
- Binding
- Hardcover
- Language
- English
- ISBN 13
- 9798295882890
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
"Synopsis" may belong to another edition of this title.
AussieBookSeller
Truganina, VIC, Australia
AbeBooks seller since June 22, 2007
Shipping rates from Australia to U.S.A.
| Item | 25 to 45 business days | 8 to 14 business days |
|---|---|---|
| First item | £ 27.89 | £ 33.17 |
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The Nile Group Pty Ltd
42 Apex Drive
Truganina, VIC Australia 3029
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