Understanding Generative and Discriminative Models | by BotPenguin
Machine learning has revolutionized various fields by enabling computers to learn from data and make accurate predictions or classifications. Two prominent types of models used in machine learning are generative models and discriminative models.Generative models focus on capturing the underlying patterns of data to generate new examples that resemble the original dataset, while discriminative models concentrate on classifying or discriminating between different categories based on input features.In this article, we will delve into the concepts of generative and discriminative models, exploring their definitions, working principles, and applications.By understanding the differences and applications of these models, you will gain valuable insights into how they can be utilized in various dom...