SKU/Artículo: AMZ-B0GHSBPR98
Linear Maps (Operators): A Failure-First Guide to Distributed Systems, ML, and Robotics
Format:
Paperback
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En stock
En stock
Peso con empaque:
0.23 kg
0.23 kg
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Sí
Sí
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Nuevo
Nuevo
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Amazon
Amazon
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USA
USA
Sobre este producto
- Stop treating linear algebra as a classroom exercise and start treating it as a production contract.In Linear Maps (Operators), Solutions Architect Abhay Singh bridges the gap between abstract math and the messy reality of engineering. This book moves beyond "matrix-vibes" to provide a rigorous, failure-first playbook for debugging complex systems in Distributed Systems, NLP, Numerical Computing, and Robotics.Inside, you will find:The Anubhuti Cycle: A nine-part template for mastering concepts through embodiments and falsification tests.The P0–P7 Failure Playbook: A diagnostic guide to the eight most common ways linear models break in production, from Type Mismatches (P0) to Conditioning Fragility (P7).Cross-Domain Mastery: Learn how the same operator patterns govern latency in distributed shards, attention heads in Transformers, and Jacobians in robotic arms.Coordinate-Free Thinking: Learn to separate the "Object" (the linear map) from the "Receipt" (the matrix) to eliminate silent frame and unit bugs.Whether you are a machine learning engineer, a robotics researcher, or a backend architect, this book provides the field tools and "diagnostic smells" needed to build stable, predictable, and scalable systems.
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AR$47.751
44% OFF
AR$26.530
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