MATLAB Programming with AI

A Complete Guide to Scientific Computing, Data Analysis, Machine Learning, and AI-Powered Engineering with MATLAB

De: Steve Cook

Narrado por: Virtual Voice

The definitive MATLAB guide for engineers, scientists, and researchers — covering everything from your first matrix operation to deploying AI-powered engineering applications in production.

MATLAB Programming with AI is the most comprehensive MATLAB book available for 2026. With 53 chapters across five structured parts and seven real-world projects, it takes you from MATLAB fundamentals through scientific computing, signal and image processing, control systems, Simulink, deep learning, neural networks, and full AI API integration — all in a single, practical volume.

Used by over 6 million engineers and scientists at NASA, Boeing, Tesla, JPMorgan, and thousands of universities worldwide, MATLAB remains the dominant environment for numerical computing. This book teaches you not just how to use it — but how to use it at a professional level, and how to extend it with the AI tools defining the next decade of engineering.

What you will learn:

• Master MATLAB fundamentals — matrices, vectors, functions, loops, and data visualization
• Perform real-world data analysis, statistical computing, and scientific simulation
• Process signals, images, and time series data using MATLAB's built-in toolboxes
• Design control systems and model physical systems with Simulink
• Apply numerical methods, optimization techniques, and high-performance computing
• Build and train machine learning models using the MATLAB Machine Learning Toolbox
• Implement deep learning and neural networks for classification, regression, and computer vision
• Integrate OpenAI and modern LLM APIs directly into MATLAB engineering workflows
• Apply prompt engineering, semantic search, and vector database concepts in MATLAB projects
• Complete seven real-world projects: stock market analysis, predictive maintenance, image classification, signal processing, recommendation engines, engineering simulation, and an AI-assisted analytics dashboard

Five parts, built for engineers:

Part I covers MATLAB foundations — variables, matrices, linear algebra, functions, visualization, debugging, and performance.
Part II goes deep into data analysis and scientific computing — statistical analysis, signal processing, image processing, time series, and numerical methods.
Part III covers advanced engineering applications — control systems, Simulink, robotics, embedded systems, financial modeling, and GPU-accelerated parallel computing.
Part IV connects MATLAB to modern AI — machine learning, deep learning, neural networks, computer vision, NLP, LLM API integration, and AI-assisted engineering workflows.
Part V delivers seven complete guided projects from start to finish.

The book includes a MATLAB quick reference, a toolbox reference guide, an AI integration checklist, a debugging cheat sheet, and a recommended learning path — a complete resource in one volume.

Whether you are an engineering student, a working professional in aerospace, automotive, finance, or biomedical research, or a data scientist who wants to leverage MATLAB's numerical power alongside modern AI, this book gives you everything you need.

Perfect for: engineering and science students, MATLAB users who want to add AI and machine learning to their workflows, researchers in signal processing and control systems, and professionals in aerospace, automotive, finance, or biomedical industries.