Machine Learning Vs. Natural Language Processing

Machine Learning (ML) and Natural Language Processing (NLP) are two important subsets of Artificial Intelligence (AI). ML involves self-improving algorithms that make autonomous decisions by learning from data patterns, while NLP focuses on text data to decode linguistic patterns. ML tackles a broad spectrum of data, while NLP concentrates on text data. Advanced NLP tasks use machine learning techniques such as deep learning, word embeddings, and various neural networks. AI continues to advance and provide innovative solutions across a wide array of fields, from healthcare to finance, transforming the way we interact with technology and data.