Machine learning is concerned with one aspect of this: given some AI problem that can be described in discrete terms (e.g. out of a particular set of actions, which one is the right one), and ...

In today's rapidly evolving business landscape, the convergence of AI (Artificial Intelligence), machine learning, and NLP (Natural Language Processing) has emerged as a transformative force ...

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 ...

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

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, ...

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