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Download /[FreeCoursesOnline.Me] Coursera - Natural Language Processing/005.Sequence tagging with probabilistic models/017. MEMMs, CRFs and other sequential models for Named Entity Recognition.mp4

FreeCoursesOnline Me Coursera Natural Language Processing

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

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[FreeCoursesOnline.Me] Coursera - Natural Language Processing

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Total Size

1.6 GB

Total Files

89

Last Seen

2025-06-18 23:38

Hash

0448A60D7DD447B48478A3ABA6FC4C076ADEE970

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

43.7 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/016. Viterbi algorithm what are the most probable tags.mp4

41.2 MB

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

51.8 MB

/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/015. Hidden Markov Models.srt

17.0 KB

/004.Language modeling it's all about counting!/013. Perplexity is our model surprised with a real text.mp4

28.1 MB

/002.How to from plain texts to their classification/008. Linear models for sentiment analysis.mp4

37.9 MB

/004.Language modeling it's all about counting!/013. Perplexity is our model surprised with a real text.srt

10.6 KB

/009.Statistical Machine Translation/028. Introduction to Machine Translation.mp4

59.9 MB

/008.Topic models/025. Topic modeling a way to navigate through text collections.mp4

27.2 MB

/009.Statistical Machine Translation/029. Noisy channel said in English, received in French.mp4

22.7 MB

/002.How to from plain texts to their classification/008. Linear models for sentiment analysis.srt

12.9 KB

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

28.6 MB

/007.Word and sentence embeddings/021. Explicit and implicit matrix factorization.mp4

48.0 MB

 

Showing first 15 files of 89 total files


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