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FreeCoursesOnline Me Coursera Natural Language Processing

005 Sequence tagging with probabilistic models 016 Viterbi algorithm what are the most probable tags srt

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[FreeCoursesOnline.Me] Coursera - Natural Language Processing

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2025-05-24 23:41

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0448A60D7DD447B48478A3ABA6FC4C076ADEE970

/005.Sequence tagging with probabilistic models/016. Viterbi algorithm what are the most probable tags.srt

13.4 KB

/005.Sequence tagging with probabilistic models/016. Viterbi algorithm what are the most probable tags.mp4

41.2 MB

/005.Sequence tagging with probabilistic models/015. Hidden Markov Models.srt

17.0 KB

/005.Sequence tagging with probabilistic models/015. Hidden Markov Models.mp4

51.8 MB

/005.Sequence tagging with probabilistic models/017. MEMMs, CRFs and other sequential models for Named Entity Recognition.srt

14.8 KB

/005.Sequence tagging with probabilistic models/017. MEMMs, CRFs and other sequential models for Named Entity Recognition.mp4

43.7 MB

/004.Language modeling it's all about counting!/014. Smoothing what if we see new n-grams.srt

9.5 KB

/004.Language modeling it's all about counting!/012. Count! N-gram language models.srt

13.9 KB

/004.Language modeling it's all about counting!/014. Smoothing what if we see new n-grams.mp4

28.6 MB

/008.Topic models/025. Topic modeling a way to navigate through text collections.srt

9.1 KB

/001.Introduction to NLP and our course/004. Brief overview of the next weeks.srt

9.7 KB

/003.Simple deep learning for text classification/011. Neural networks for characters.srt

10.7 KB

/006.Deep Learning for the same tasks/018. Neural Language Models.srt

12.1 KB

/003.Simple deep learning for text classification/010. Neural networks for words.srt

19.5 KB

/009.Statistical Machine Translation/028. Introduction to Machine Translation.srt

19.3 KB

 

Showing first 15 files of 89 total files


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