Understanding Models Developed with AI

Understanding Models Developed by AI: Including Applications with Python and MATLAB Code

This is a comprehensive guide on the intricacies of AI models and their real-world applications. The book demystifies complex AI methodologies by providing clear explanations and practical examples that are reinforced with Python and MATLAB program codes.

Its content structure emphasizes a practical, applications-driven approach to understanding AI models, with hands-on coding examples throughout each chapter. Readers will find the tools they need to build AI models, along with the knowledge to make these models accessible and interpretable to stakeholders, thus fostering trust and reliability in AI systems.

As the primary issues with the adoption of AI/ML models are reliability, transparency, interpretation of results, and bias (data and algorithm) management, this resource gives researchers and developers what they need to be able to not only implement AI models, but also interpret and explain them. This is crucial in industries where decision-making processes must be transparent and understandable.

Key Features

• Covers the fundamental concepts needed to develop various types of Artificial Intelligence models

• Includes MATLAB and Python code, allowing readers to directly implement AI models and see their applications in real-world scenarios

• Each AI model is thoroughly explained, with a focus on making complex concepts accessible to both beginners and advanced users

• Presents case studies from various industries, demonstrating how AI models can be effectively applied and interpreted in different contexts