TENSOR CALCULUS for Engineers & Machine Learning: A Step-by-Step Guide with Applications in AI · Physics · Robotics · Optimization - Couverture souple

Hossain, Mir

Couverture souple

ISBN 13 : 9798196277542

Editeur : Independently published, 2026

Synopsis

TENSOR CALCULUS FOR ENGINEERS & MACHINE LEARNING
A Step-by-Step Guide with Applications in AI, Physics, Robotics & Optimization

Struggling to connect the math in physics with the tensors used in deep learning?

This book bridges the gap.

Whether you're an engineering student, machine learning practitioner, or physics learner, Tensor Calculus for Engineers & Machine Learning gives you a clear, practical path to mastering one of the most powerful mathematical tools in modern science.

Instead of treating tensors as abstract theory or just arrays in code, this book shows you how they work across disciplines—using the same notation, the same logic, and real-world applications.

What You’ll Learn

• Understand tensors from first principles—without confusion or intimidation
• Master index notation and Einstein summation with ease
• Perform tensor operations used in engineering and AI
• Derive gradients for neural networks, including attention mechanisms
• Apply tensor calculus to mechanics, robotics, and optimization
• Use NumPy, PyTorch, and einsum like a professional

Why This Book Is Different

• Combines engineering + AI applications in every chapter
• Focuses on intuition first, then formal understanding
• Includes 165+ practice problems with full solutions
• Features a complete transformer backpropagation walkthrough
• Designed for real-world problem solving, not memorization

Who This Book Is For

• Engineering students (mechanical, electrical, civil, robotics)
• Machine learning and AI practitioners
• Physics students and applied mathematicians
• Anyone who wants to truly understand tensors—not just use them

Prerequisites

• Basic linear algebra
• Single-variable calculus (multivariable helpful but reviewed inside)

Stop memorizing formulas. Start understanding the language behind modern AI and engineering.

Master tensor calculus—and unlock the mathematics behind today’s most powerful technologies.

Détails de l'édition

• Éditeur: Independently published
• Date d'édition: 2026
• Langue: anglais
• ISBN 13: 9798196277542
• Reliure: Broché
• Nombre de pages: 189
• Coordonnées du fabricant: Manufactured by Amazon on behalf of the author; https://www.amazon.fr/hz/contact-us; ; c/o Amazon Media EU S.à.r.l., 38 Avenue John F. Kennedy; Luxembourg; L-1855; Luxembourg