Natural Language Processing Fundamentals Techniques, Tools, and Applications

Creation Time	Feb. 4, 2025, 5:46 a.m.
Last Access Time	Feb. 5, 2025, 1:40 a.m.
File Size	1.0 GB
Keywords	and Natural Language Fundamentals Processing Applications Tools Techniques
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Total Files	45
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Module 2 Text Processing and Feature Engineering/003. Lesson 2.3 Use Case Who Wrote it Authorship Attribution with Heuristic NLP.mp4 124.0 MB
Module 4 Advanced NLP Models/004. Lesson 4.4 Use Case Fine-tuning a Sentiment Analysis Classifier with DistilBERT.mp4 110.2 MB
Module 5 Beyond the NLP Model/003. Lesson 5.3 Use Case Build Your Own Retrieval-Augmented Generation (RAG) System.mp4 81.7 MB
Module 3 Traditional NLP Models/001. Lesson 3.1 Probabilistic Models.mp4 73.9 MB
Module 2 Text Processing and Feature Engineering/002. Lesson 2.2 Feature Engineering Techniques.mp4 67.2 MB
Module 4 Advanced NLP Models/003. Lesson 4.3 Large Language Models (LLMs).mp4 61.0 MB
Module 2 Text Processing and Feature Engineering/001. Lesson 2.1 Preprocessing Techniques.mp4 59.8 MB
Module 3 Traditional NLP Models/003. Lesson 3.3 Use Case Text Classification with Naive Bayes.mp4 58.1 MB
Module 3 Traditional NLP Models/002. Lesson 3.2 Introduction to Neural Networks in NLP.mp4 57.6 MB
Module 4 Advanced NLP Models/002. Lesson 4.2 Task-Specific Transformer Models and Fine-Tuning.mp4 55.2 MB
Module 1 Introduction to Linguistics, NLP and Related Platforms/003. Lesson 1.3 Major Platforms and Packages Used in this Course.mp4 50.3 MB
Module 1 Introduction to Linguistics, NLP and Related Platforms/001. Lesson 1.1 What is Linguistics.mp4 47.3 MB
Module 1 Introduction to Linguistics, NLP and Related Platforms/002. Lesson 1.2 What is Natural Language Processing.mp4 46.5 MB
Module 4 Advanced NLP Models/001. Lesson 4.1 Attention Mechanism and Transformers.mp4 45.2 MB
Module 5 Beyond the NLP Model/002. Lesson 5.2 MLOps and LLMOps.mp4 43.9 MB
Module 5 Beyond the NLP Model/001. Lesson 5.1 Ethical Considerations.mp4 41.4 MB
Module 0 Course Introduction/001. Course Introduction.mp4 28.8 MB
Module 5 Beyond the NLP Model/004. Lesson 5.4 Course Closing.mp4 14.9 MB
z.nlp-fundamentals-main/0203_heuristic_nlp.ipynb 432.6 KB
z.nlp-fundamentals-main/0404_finetuning_transformers.ipynb 250.3 KB
z.nlp-fundamentals-main/0303_naive_bayes.ipynb 125.4 KB
z.nlp-fundamentals-main/0504_llms_and_rag.ipynb 118.9 KB
z.nlp-fundamentals-main/graphics/rag.png 109.9 KB
z.nlp-fundamentals-main/graphics/transformer_architecture.png 78.8 KB
z.nlp-fundamentals-main/graphics/llm.png 25.1 KB
z.nlp-fundamentals-main/graphics/cosine_similarity.png 22.4 KB
Module 2 Text Processing and Feature Engineering/003. Lesson 2.3 Use Case Who Wrote it Authorship Attribution with Heuristic NLP.en.srt 21.8 KB
Module 4 Advanced NLP Models/004. Lesson 4.4 Use Case Fine-tuning a Sentiment Analysis Classifier with DistilBERT.en.srt 20.2 KB
Module 3 Traditional NLP Models/001. Lesson 3.1 Probabilistic Models.en.srt 20.0 KB
Module 2 Text Processing and Feature Engineering/002. Lesson 2.2 Feature Engineering Techniques.en.srt 20.0 KB
Module 4 Advanced NLP Models/003. Lesson 4.3 Large Language Models (LLMs).en.srt 18.7 KB
Module 2 Text Processing and Feature Engineering/001. Lesson 2.1 Preprocessing Techniques.en.srt 15.8 KB
Module 3 Traditional NLP Models/002. Lesson 3.2 Introduction to Neural Networks in NLP.en.srt 15.7 KB
Module 5 Beyond the NLP Model/003. Lesson 5.3 Use Case Build Your Own Retrieval-Augmented Generation (RAG) System.en.srt 15.2 KB
Module 4 Advanced NLP Models/002. Lesson 4.2 Task-Specific Transformer Models and Fine-Tuning.en.srt 14.8 KB
Module 1 Introduction to Linguistics, NLP and Related Platforms/002. Lesson 1.2 What is Natural Language Processing.en.srt 14.7 KB
Module 5 Beyond the NLP Model/001. Lesson 5.1 Ethical Considerations.en.srt 14.2 KB
Module 1 Introduction to Linguistics, NLP and Related Platforms/001. Lesson 1.1 What is Linguistics.en.srt 13.6 KB
Module 5 Beyond the NLP Model/002. Lesson 5.2 MLOps and LLMOps.en.srt 13.4 KB
Module 3 Traditional NLP Models/003. Lesson 3.3 Use Case Text Classification with Naive Bayes.en.srt 12.0 KB
Module 4 Advanced NLP Models/001. Lesson 4.1 Attention Mechanism and Transformers.en.srt 11.8 KB
Module 1 Introduction to Linguistics, NLP and Related Platforms/003. Lesson 1.3 Major Platforms and Packages Used in this Course.en.srt 7.8 KB
Module 0 Course Introduction/001. Course Introduction.en.srt 7.4 KB
Module 5 Beyond the NLP Model/004. Lesson 5.4 Course Closing.en.srt 3.4 KB
z.nlp-fundamentals-main/README.md 2.8 KB

Natural Language Processing Fundamentals Techniques, Tools, and Applications

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