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Artificial Intelligence

Natural Language Processing

145 Courses Follow

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Data Science: Natural Language Processing (NLP) in Python

Data Science: Natural Language Processing (NLP) in Python

Applications: decrypting ciphers, spam detection, sentiment analysis, article spinners, and latent semantic analysis.

Applications: decrypting ciphers, spam detection, sentiment analysis, article spinners, and latent semantic analysis.

4.8 (12,913 ratings) 52,898 learners
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Introduction to NLP and LLMs: Principles and Practical Applications

Introduction to NLP and LLMs: Principles and Practical Applications

Gain a practical understanding of natural language processing (NLP) and large language models (LLMs), unlocking the exciting possibilities of these transformative technologies.

Gain a practical understanding of natural language processing (NLP) and large language models (LLMs), unlocking the exciting possibilities of these transformative technologies.

0.0 (0 ratings)
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Natural Language Processing, AI Engineers & Data Scientists

Natural Language Processing, AI Engineers & Data Scientists

Learn classical NLP, embeddings, transformers, and evaluation techniques beyond large language models

Learn classical NLP, embeddings, transformers, and evaluation techniques beyond large language models

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RAG Fine-Tuning: Advanced Techniques for Accuracy and Model Performance

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Fine-tune LLMs in Azure AI Studio using retrieval augmentation to create domain-specific AI systems using state-of-the-art RAFT technique.

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Feature Engineering for NLP in Python

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Learn techniques to extract useful information from text and process them into a format suitable for machine learning.

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Advanced NLP with spaCy

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Learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.

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Natural Language Processing (NLP) in Python

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Master text analysis with essential NLP techniques from preprocessing to advanced transformer models.

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Natural Language Processing with spaCy

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Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.

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Introduction to Natural Language Processing in R

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Gain an overview of all the skills and tools needed to excel in Natural Language Processing in R.

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Introduction to Natural Language Processing in Python

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Learn fundamental natural language processing techniques using Python and how to apply them to extract insights from real-world text data.

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