Publisher's Synopsis
Artificial Intelligence and Machine Learning: A Practical Approach is a comprehensive guide for beginners and professionals looking to gain a practical understanding of AI and machine learning. This book provides readers with a step-by-step approach to building intelligent systems, along with practical examples and case studies that demonstrate real-world applications of AI and machine learning.
The book covers essential concepts, including supervised and unsupervised learning, deep learning, natural language processing, computer vision, and more. Readers will learn how to implement algorithms and techniques for data mining, big data analytics, and decision-making. Additionally, the book explores the latest developments in intelligent automation and its integration with AI.
This book is suitable for data scientists, software engineers, and other professionals looking to expand their knowledge of AI and machine learning. With its practical approach and comprehensive coverage of essential concepts, Artificial Intelligence and Machine Learning: A Practical Approach is the perfect resource for anyone looking to master the latest advancements in this rapidly growing field.
