Natural Language Processing
Natural Language Processing (NLP) is a branch of artificial intelligence (AI) that focuses on enabling computers to understand, interpret, and generate human language in a meaningful way. It involves developing algorithms and techniques to process and analyze natural language data, such as text and speech, to extract insights, derive meaning, and perform tasks such as sentiment analysis, language translation, named entity recognition, text summarization, and question answering. Python libraries like NLTK and spaCy, provides powerful tools for implementing NLP algorithms. Understanding mathematical concepts such as probability, statistics, and machine learning is crucial for mastering NLP. NLP tutorials, projects, and interview questions further deepen understanding and proficiency in this field.
Prerequisite for Natural Language Processing
- Math for Natural Language Processing
Natural Language Processing with Python
What is AI ML DS and How To Get Started?
In this AI-ML-DS tutorial, you’ll find a wealth of resources designed to demystify these complex fields and empower you to develop practical skills and insights. Whether you’re just starting or looking to deepen your understanding, our tutorials cover everything from the basics of AI and ML algorithms to advanced data science techniques.
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