What is the difference between AI, Machine Learning, NLP, and Deep Learning? originally appeared on Quora: the knowledge sharing network where compelling questions are answered by people with ...

Linear algebra is essential for understanding core data science concepts like machine learning, neural networks, and data ...

NLP involves applying machine learning algorithms to analyze and process natural language data, such as text or speech. NLP has recently been incorporated into a number of practical applications, ...

The course explores a breadth of Natural Language Processing (NLP) applications with a focus on contemporary, state-of-the-art systems, often based on deep learning techniques. Topics include word ...

Sentiment analysis is analytical technique that uses statistics, natural language processing, and machine learning to determine the emotional meaning of communications. Companies use sentiment ...