What’s The Difference Between Natural Language Processing And Machine Learning?

Machine learning and natural language processing (NLP) are often seen as synonymous due to the rise of AI that generates natural texts using machine learning models. Machine learning involves the development of algorithms that use data analysis to learn patterns and make predictions autonomously, while NLP focuses on fine-tuning, analyzing, and synthesizing human texts and speech. Both machine learning and NLP are subsets of AI, but they differ in the type of data they analyze. Examples of machine learning applications include computer vision and image recognition.