Description
Artificial Intelligence and Machine Learning: Theory and Practice is a comprehensive resource that bridges the gap between theoretical concepts and real-world applications. Written by Lyla B. Das, this book explores the fundamental principles of AI and machine learning while providing practical insights for implementation.
The text covers essential algorithms, neural networks, deep learning architectures, and supervised/unsupervised learning methodologies. Each chapter combines theoretical foundations with hands-on examples, making it suitable for both beginners and experienced practitioners. The book addresses current challenges in the field and discusses emerging trends in artificial intelligence.
Published by TechSar Pvt. Ltd, this non-fiction work serves as an essential reference for students, data scientists, software engineers, and AI enthusiasts looking to deepen their understanding of machine learning technologies and their practical applications in various industries.
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