Description
AI Foundations and Applications with MATLAB
Architect your intelligent logic and master the high-performance protocols of modern neural engineering. AI Foundations and Applications with MATLAB provides a definitive, engineering-first roadmap to the most significant shift in artificial intelligence since the digital revolution. Learn how to move beyond code-heavy Python scripts to high-velocity, GUI-driven discovery—bridging the gap between a standalone algorithm and a sophisticated, MATLAB-integrated ecosystem—ensuring your technical projects are resilient, scalable, and ready for the 2026 global technology landscape.
Note: This is a digital product and the download link will be sent to your email address immediately after payment.
What You Will Learn:
Foundations of AI Architecture: Master the core principles of AI structures and key components, utilizing MATLAB’s unique programming modes to maintain peak operational integrity.
Modern GUI Workflows: Step-by-step guidance on utilizing MATLAB Apps to build AI projects with zero coding lines, ensuring the structural integrity and technical agility of your prototypes.
Scalable Coding Patterns: Discover how to utilize the Converting Codes function to bridge the gap between graphical interfaces and detailed library functions for advanced system delivery.
Strategic Security & Applied Integrity: Learn advanced techniques for implementing hands-on AI projects in real-world scenarios—including robotics and expert systems—ensuring the technical agility of your evidence-based AI applications.
Who This Book is For: This professional-grade guide is essential for Advanced Students in Computer Science, AI Engineers, and Researchers. It is an invaluable resource for any technical lead—including those building highly advanced, sensor-integrated graduation projects like Smart Guard—aiming to master the structural integrity and technical agility required for modern, professional-grade AI solution delivery.
Product Details:
Format: Digital PDF Download
Author: Ying Bai (Professor of Computer Science & Engineering)
Publisher: Springer Nature Switzerland
Published: September 4, 2025
Pages: 673
ISBN-13: 9783031844232 (eText) / 9783031844225 (Print)
ISBN-10: 3031844238
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