PRICES MAY VARY. Machine Learning to Generative AI: A Unified Approach offers a comprehensive guide that takes readers from the basics of machine learning to advanced generative AI techniques, making it ideal for learners at all levels. The book covers foundational machine learning concepts, key algorithms, and deep learning models like CNNs, RNNs, and GANs, along with training and optimization techniques. It explores generative AI, focusing on models such as GANs, VAEs, and transformers, with applications like DALL·E for text-to-image generation. Performance evaluation metrics, including accuracy, precision, and domain-specific measures for generative models, are also discussed. Through real-world case studies, the book highlights AI's transformative impact on industries like healthcare, finance, and autonomous systems, while the appendices provide valuable resources like mathematical foundations, Python tools, datasets, and project ideas to solidify learning.