An introductory guide explaining the relationships and differences between machine learning, deep learning, and generative AI. Covers fundamental concepts like supervised and unsupervised learning, how neural networks process data through layers, and real-world applications ranging from spam detection to ChatGPT. Includes a comparison table showing data requirements, computational costs, and appropriate use cases for each technology.
Table of contents
Table of ContentsArtificial Intelligence (AI)Machine Learning (ML): The FoundationDeep Learning: Adding ComplexityGenerative AI: Write NewSummary of Differences Between Machine Learning vs Deep Learning vs Generative AIConclusionSort: