Machine learning is a term often used interchangeably with AI, but many people remain unclear about its true meaning. This article aims to clarify these concepts by walking through the process of building a toxic-comment classifier.
The classifier serves as a practical example, showcasing how machine learning can be applied to identify and filter harmful comments online. By understanding the underlying algorithms and data processing techniques, readers can gain insights into how models are trained.
This exploration not only highlights the technical aspects of machine learning but also emphasizes its relevance in addressing real-world issues, such as online harassment and community safety.