Learn natural-language-processing
8 expert-rated courses covering natural-language-processing. Compared by rating, price, difficulty, and job relevance so you can pick the right one.
Available on
Top natural-language-processing Courses
Advanced Natural Language Processing Regression 2024
In NLP, regression involves transforming text into coordinates, and then identifying the distribution of these coordinates. It's about converting textual data ...
Twitter sentiment analysis & Natural language processing (NLP) for ...
In this course will be fetching real-time tweets from Twitter and predicting sentiment of tweets using natural language processing and Python machine learning ...
Hugging Face Course for Beginners
Hugging Face is a company and open-source community that focuses on natural language processing (NLP) and artificial intelligence (AI). ... Python, AI ...
AI for Beginners: Learn Tools, Prompts & Use Cases
Build a basic Sentiment Analyzer using Python and scikit-learn. - Create a sample training dataset by collecting man sample product review comments and labeling ...
The Ultimate ChatGPT Class for Beginners 2023
Nlp is the tech that allows an AI model to understand, interpret, and generate human language in a way that's natural and easy for us to comprehend. Nlp is the ...
Generative AI Prompt Engineering For Everyone
Master the art of crafting effective prompts for generative AI models to unlock their full potential. Learn practical techniques and best practices for interacting with large language models across various applications. Perfect for beginners who want to leverage AI tools without deep technical knowledge.
Introduction to Large Language Models
Explore the foundations of large language models and how they revolutionize natural language processing. Understand transformer architecture, training methodologies, and practical applications of LLMs.
Fundamentals Of Natural Language Processing
Learn the core concepts and techniques of natural language processing. Cover tokenization, text preprocessing, word embeddings, and fundamental NLP algorithms. Build understanding of how machines process and understand human language.