Natural Language Processing
Et Tu Code
Unlock the secrets of Natural Language Processing (NLP) with this comprehensive ebook. Whether you're a data scientist, linguist, or language enthusiast, embark on a journey from fundamentals to cutting-edge techniques.
Explore linguistics basics, including syntax and semantics. Master text processing methods like tokenization, stemming, and lemmatization. Delve into statistical language models for sentiment analysis and text classification. Discover how machine learning and deep learning are reshaping NLP.
Learn about Named Entity Recognition (NER), sentiment analysis, machine translation, and building conversational agents. Understand ethical considerations and the latest NLP advancements such as large language models and transformer architecture.
Practice with hands-on projects and access essential NLP resources and tools. Prepare for NLP job interviews with key concepts and a comprehensive glossary. Empower yourself to decode text, build intelligent applications, and shape the future of human-computer communication.
Join the NLP revolution today! This ebook includes real-world examples, clear explanations, and updates on the latest NLP advancements. Don't miss out—click "Buy Now" and unleash the power of language!
Duration - 23h 38m.
Author - Et Tu Code.
Narrator - Helen Green.
Published Date - Saturday, 06 January 2024.
Copyright - © 2023 Et Tu Code ©.
Location:
United States
Description:
Unlock the secrets of Natural Language Processing (NLP) with this comprehensive ebook. Whether you're a data scientist, linguist, or language enthusiast, embark on a journey from fundamentals to cutting-edge techniques. Explore linguistics basics, including syntax and semantics. Master text processing methods like tokenization, stemming, and lemmatization. Delve into statistical language models for sentiment analysis and text classification. Discover how machine learning and deep learning are reshaping NLP. Learn about Named Entity Recognition (NER), sentiment analysis, machine translation, and building conversational agents. Understand ethical considerations and the latest NLP advancements such as large language models and transformer architecture. Practice with hands-on projects and access essential NLP resources and tools. Prepare for NLP job interviews with key concepts and a comprehensive glossary. Empower yourself to decode text, build intelligent applications, and shape the future of human-computer communication. Join the NLP revolution today! This ebook includes real-world examples, clear explanations, and updates on the latest NLP advancements. Don't miss out—click "Buy Now" and unleash the power of language! Duration - 23h 38m. Author - Et Tu Code. Narrator - Helen Green. Published Date - Saturday, 06 January 2024. Copyright - © 2023 Et Tu Code ©.
Language:
English
Opening Credits
Duration:02:03:26
2 Preface
Duration:07:48:16
3 Introduction to Natural Language Processing
Duration:03:50:31
4 Foundations of linguistics
Duration:02:55:09
5 Foundations of linguistics syntax in nlp
Duration:06:17:50
6 Foundations of linguistics semantics and nlp
Duration:04:43:48
7 Foundations of linguistics morphology and nlp
Duration:04:31:50
8 Foundations of linguistics phonetics and nlp
Duration:04:07:16
9 Fext processing techniques
Duration:04:28:31
10 Statistical language models
Duration:04:18:19
11 Machine learning in nlp
Duration:04:31:02
12 Deep learning for nlp
Duration:04:12:50
13 Named Entity Recognition (NER)
Duration:05:44:55
14 Sentiment Analysis
Duration:04:23:33
15 Machine translation
Duration:04:16:00
16 Conversational Agents
Duration:05:26:28
17 Ethical considerations in NLP
Duration:04:06:33
18 Recent advancements in NLP
Duration:04:54:07
19 NLP in large language models (llm)
Duration:04:11:43
20 NLP in large language models (llm) llm architecture
Duration:04:29:28
21 NLP in large language models (llm) fine tuning for nlp tasks
Duration:04:05:28
22 NLP in large language models (llm) challenges and opportunities
Duration:04:28:50
23 NLP in large language models (llm) nlp in llm use cases
Duration:04:02:36
24 Word embeddings
Duration:03:59:36
25 Attention mechanism
Duration:03:59:28
26 Transformer architecture
Duration:05:08:07
27 Multimodal NLP
Duration:03:44:31
28 Explainable ai in NLP
Duration:04:49:52
29 NLP applications in industry
Duration:03:51:36
30 Future trends in nlp
Duration:05:00:00
31 Hands on projects
Duration:03:48:48
32 NLP resources and tools
Duration:03:34:04
33 Interview preparation
Duration:07:35:09
34 Conclusion
Duration:02:26:33
35 Glossary
Duration:04:44:50
36 Bibliography
Duration:09:19:21
Ending Credits
Duration:01:38:28