Natural language processing is a subfield of linguistics, computer science, and artificial intelligence that uses algorithms to interpret and manipulate human language. In the Natural Language Processing (NLP) Specialization, you will learn how to design NLP applications that perform question-answering and sentiment analysis, create tools to translate languages, summarize text, and even build chatbots. These and other NLP applications will be at the forefront of the coming transformation to an AI-powered future. NLP is one of the most broadly applied areas of machine learning and is critical in effectively analyzing massive quantities of unstructured, text-heavy data. As AI continues to expand, so will the demand for professionals skilled at building models that analyze speech and language, uncover contextual patterns, and produce insights from text and audio. (Source: DeepLearning.AI)
✨ Natural Language Processing with Classification and Vector Spaces
✨ Natural Language Processing with Probabilistic Models
✨ Natural Language Processing with Sequence Models
✨ Natural Language Processing with Attention Models
This repository is dedicated to course notebooks and personal notes from my learning during the specialization.