Download Udemy - Modern NLP for AI Engineers and Data Scientists torrent

Udemy - Modern NLP for AI Engineers and Data Scientists

Torrent:	Udemy - Modern NLP for AI Engineers and Data Scientists
Description:	Modern NLP for AI Engineers & Data Scientists https://WebToolTip.com Published 1/2026 Created by Data Science Academy, School of AI MP4 \| Video: h264, 1920x1080 \| Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner \| Genre: eLearning \| Language: English \| Duration: 54 Lectures ( 4h 49m ) \| Size: 2.8 GB Learn classical NLP, embeddings, transformers, and evaluation techniques beyond large language models What you'll learn ✓ Design robust NLP pipelines from raw text to model input ✓ Apply text preprocessing, tokenization, parsing, and normalization correctly in production settings ✓ Build and evaluate classical NLP systems using Bag-of-Words, TF-IDF, and statistical features ✓ Understand and implement word embeddings, sentence embeddings, and document embeddings ✓ Use transformers for understanding tasks, not just text generation ✓ Choose the right encoder-only, sequence, or attention-based model for a given problem ✓ Evaluate embeddings using intrinsic and extrinsic metrics, while accounting for bias and representation risks ✓ Think like an AI Engineer, not just a model user Requirements ● Basic Python programming ● Fundamental understanding of machine learning concepts ● Curiosity to understand how AI systems actually work ● No prior NLP experience is required—everything is built step by step
Downloads:	9
Category:	Other /Tutorials
Size:	2.7 GB
Show Files »	[ WebToolTip.com ] Udemy - Modern NLP for AI Engineers and Data Scientists Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1 - NLP Foundations Revisited Engineer View 1. 1 1 What Makes NLP Different from Other ML Domains.mp4 (80.7 MB) 2. 1 2 Text as Data.mp4 (73.8 MB) 3. 1 3 NLP Problem Taxonomy.mp4 (68.9 MB) 10 - NLP Pipelines System Design 43. 10 1 End-to-End NLP Pipelines.mp4 (52.2 MB) 44. 10 2 NLP in Microservices.mp4 (42.9 MB) 45. 10 3 Evaluation Monitoring.mp4 (55.5 MB) 46. System Design Architecture Exercises.html (13.4 KB) 11 - Beyond LLMs Hybrid NLP Systems 47. 11 1 When NOT to Use LLMs.mp4 (44.9 MB) 48. 11 2 LLM Classical NLP.mp4 (53.2 MB) 49. 11 3 Failure Modes in LLM-Centric NLP.mp4 (52.0 MB) 50. Case-Study Design Decision Exercises.html (13.6 KB) 12 - Ethics, Bias Responsible NLP 51. 12 1 Bias in Text Data.mp4 (56.6 MB) 52. 12 2 Fairness Explainability.mp4 (59.2 MB) 53. 12 3 Privacy-Aware NLP.mp4 (63.7 MB) 54. Scenario-Based Audit Policy Exercises.html (14.4 KB) 2 - Text Preprocessing Linguistic Pipelines 4. 2 1 Text Cleaning in Production.mp4 (54.0 MB) 5. 2 2 Tokenization Strategies.mp4 (64.7 MB) 6. 2 3 Stemming vs Lemmatization.mp4 (59.5 MB) 7. 2 4 Sentence Segmentation Parsing Basics.mp4 (65.3 MB) 8. Hands on Lab.html (14.5 KB) 3 - SECTION 3 Feature Engineering for Classical NLP 10. 3 2 TF-IDF Statistical Weighting.mp4 (82.0 MB) 11. 3 3 Feature Selection for Text.mp4 (79.4 MB) 12. 3 4 Classical NLP Models.mp4 (67.9 MB) 13. Hands on Lab Model Evaluation.html (11.6 KB) 9. 3 1 Bag-of-Words N-grams.mp4 (78.6 MB) 4 - Word Representations Distributional Semantics 14. 4 1 Distributional Hypothesis.mp4 (69.8 MB) 15. 4 2 Static Word Embeddings.mp4 (52.0 MB) 16. 4 3 Embedding Geometry.mp4 (70.3 MB) 17. 4 4 Limitations of Static Embeddings.mp4 (69.4 MB) 18. Hands on Lab Visualization Exercise.html (11.7 KB) 5 - Sequence Modeling for NLP 19. 5 1 Sequence Learning Fundamentals.mp4 (59.6 MB) 20. 5 2 Recurrent Neural Networks.mp4 (62.9 MB) 21. 5 3 LSTM GRU for NLP.mp4 (71.1 MB) 22. 5 4 Bidirectional Models.mp4 (60.6 MB) 23. Hands on Lab.html (11.2 KB) 6 - Attention Transformer Fundamentals Pre-LLM 24. 6 1 Attention Mechanism.mp4 (64.9 MB) 25. 6 2 Transformer Architecture.mp4 (75.3 MB) 26. 6 3 Why Transformers Replaced RNNs.mp4 (66.2 MB) 27. 6 4 Transformer Use Without LLMs.mp4 (66.3 MB) 28. Hands-On Lab Architecture Reasoning Exercise.html (14.2 KB) 7 - Contextual Embeddings Representation Learning 29. 7 1 Contextual Embeddings.mp4 (71.2 MB) 30. 7 2 Encoder-Only Models.mp4 (52.5 MB) 31. 7 3 Sentence Document Embeddings.mp4 (58.9 MB) 32. 7 4 Embedding Evaluation.mp4 (74.6 MB) 33. Applied Embedding Lab Evaluation Task.html (13.3 KB) 8 - NLP Tasks in Practice 34. 8 1 Text Classification.mp4 (59.6 MB) 35. 8 2 Named Entity Recognition NER.mp4 (63.8 MB) 36. 8 3 Text Similarity Semantic Search.mp4 (62.8 MB) 37. 8 4 Topic Modeling.mp4 (68.0 MB) 38. End-to-End Hands-On Mini Projects.html (12.6 KB) 9 - Information Retrieval Search Systems 39. 9 1 Classical IR.mp4 (64.7 MB) 40. 9 2 Vector Search Semantic Retrieval.mp4 (49.4 MB) 41. 9 3 Hybrid Search Systems.mp4 (54.8 MB) 42. System-Level Hands-On Lab.html (13.8 KB) Bonus Resources.txt (0.1 KB) files
Added:	2026-02-13 12:45:01
Language:	English
Peers:	Seeders : 1 , Leechers : 10
Tags:	Development Data Science Udemy
Release name:	Udemy - Modern NLP for AI Engineers and Data Scientists
Trackers:	udp://tracker.torrent.eu.org:451/announce udp://tracker.tiny-vps.com:6969/announce http://tracker.foreverpirates.co:80/announce udp://tracker.cyberia.is:6969/announce udp://exodus.desync.com:6969/announce udp://explodie.org:6969/announce udp://tracker.opentrackr.org:1337/announce udp://9.rarbg.to:2780/announce udp://tracker.internetwarriors.net:1337/announce udp://ipv4.tracker.harry.lu:80/announce udp://open.stealth.si:80/announce udp://9.rarbg.to:2900/announce udp://9.rarbg.me:2720/announce udp://opentor.org:2710/announce