DATA STRUCTURE AND ALGORITHMS FOR AI DRIVEN DECISION MAKING

This textbook introduces essential data structures and algorithms with a focus on artificial intelligence applications. It covers arrays, stacks, queues, trees, graphs, sorting, and searching algorithms, emphasizing their role in data processing and optimization for intelligent systems. The book combines algorithmic theory with practical coding examples in Python and C++. Readers will understand how efficient data organization supports AI-driven decision-making, predictive modeling, and automation. Designed for computer science and AI students, it provides a strong foundation for building intelligent, scalable, and efficient computational solutions.