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Bookmark or Share- Natural Language Processing Specialization - CourseraNatural Language Processing (NLP) is a subfield of linguistics, computer science, and artificial intelligence that uses algorithms to interpret and manipulate human language. This technology is one of the most broadly applied areas of machine learning and is critical in effectively analyzing massive quantities of unstructured, text-heavy data.
- Natural Language Processing DemystifiedFundamental concepts and algorithms of NLP. The fundamentals of machine learning. Understand how neural networks work by building one from scratch. The popular deep learning methods used in production today. How to use a variety of popular tools and libraries to go from raw data to a practical, working model.
- NExT: Teaching Large Language Models to Reason about Code ExecutionA fundamental skill among human developers is the ability to understand and reason about program execution. As an example, a programmer can mentally simulate code execution in natural language to debug and repair code (aka. rubber duck debugging). However, large language models (LLMs) of code are typically trained on the surface textual form of programs, thus may lack a semantic understanding ...
- 8 Best Natural Language Processing Tools 2024 - eWeekThe Natural Language Toolkit (NLTK) is a Python library for NLP tasks. It includes modules for functions such as tokenization, part-of-speech tagging, parsing, and named entity recognition.
- Natural Language Processing - Overview - GeeksforGeeksNatural language processing (NLP) is a field of computer science and artificial intelligence that aims to make computers understand human language. NLP uses computational linguistics, which is the study of how language works, and various models based on statistics, machine learning, and deep learning.
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