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Recurrent Neural Networks (RNNs) are designed to process sequential data by retaining memory of previous inputs, unlike traditional networks which handle each input independently.
Stop words are common but low-meaning words like "the" or "and". Removing them improves NLP text analysis by filtering out noise and focusing on meaningful content.
Learn essential text preprocessing techniques to clean and prepare unstructured text for NLP and machine learning in Python.
AI is the technology behind voice assistants, gaming, and recommendations, enabling machines to perform human-like tasks such as learning and decision-making.
Word embeddings like GloVe turn words into numerical vectors, capturing meaning and semantic relationships. This article explains how GloVe works and how to use it in Python projects.