Description: Natural Language Processing with Machine Learning focuses on enabling computers to understand, interpret, and generate human language using intelligent algorithms. It combines linguistic knowledge with machine learning techniques to process text and speech data efficiently. Key tasks include text classification, sentiment analysis, language translation, chatbots, speech recognition, and information extraction. Machine learning models—such as supervised learning, deep learning, and transformer-based architectures—help systems learn patterns from large language datasets and improve performance over time. This field powers applications like virtual assistants, recommendation systems, and automated customer support, playing a vital role in modern artificial intelligence and human–computer interaction.