Tag Machine Learning found of 5 results
Learn the essential methods for representing text data in Natural Language Processing (NLP). Explore techniques like Bag of Words (BoW), TF-IDF, One-Hot Encoding, Word Embeddings, and Sentence Embeddings, all explained with Python code examples. These foundational methods transform raw text into numerical formats for machine learning and deep learning applications. Perfect for beginners looking to master text preprocessing and representation in NLP...
Sovary December 14, 2024 110In this tutorial, we’ll walk through the essential steps of text preprocessing in Natural Language Processing (NLP). Text preprocessing is the foundation of NLP, where we transform raw text into a structured format that machines can understand. Using Python, we’ll demonstrate techniques such as tokenization, stopword removal, stemming, and lemmatization to prepare text data for analysis...
Sovary December 13, 2024 124Learn how to integrate LangChain's pipelines with Ollama's locally served Llama models to summarize text efficiently. Explore how to use a local Llama model to generate concise summaries in JSON format for structured data processing...
Sovary November 29, 2024 405A Large Language Model (LLM) is a type of artificial intelligence (AI) designed to understand, generate, and interact with human language. These models are trained using vast amounts of text data and are based on deep learning techniques..
Sovary November 28, 2024 352OpenCV is widely used because: It is efficient and supports various image file formats like PNG, JPEG, and BMP. It offers functionalities beyond just reading, such as image transformation, object detection, and machine learning. It integrates seamlessly with Python for scripting...
Sovary November 25, 2024 180