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[FreeCoursesOnline.Me] Coursera - Natural Language Processing

magnet:?xt=urn:btih:0448A60D7DD447B48478A3ABA6FC4C076ADEE970&dn=%5BFreeCoursesOnline.Me%5D%20Coursera%20-%20Natural%20Language%20Processing

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0448A60D7DD447B48478A3ABA6FC4C076ADEE970

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Content Size:

1.51GB

Convert On:

2018-09-17

Keywords:

FreeCoursesOnline Me Coursera Natural Language Processing

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magnet:?xt=urn:btih:0448A60D7DD447B48478A3ABA6FC4C076ADEE970&dn=%5BFreeCoursesOnline.Me%5D%20Coursera%20-%20Natural%20Language%20Processing

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File Name

Size

001.Introduction to NLP and our course/001. About this course.mp4

12.59MB

001.Introduction to NLP and our course/001. About this course.srt

3.23KB

001.Introduction to NLP and our course/002. Welcome video.mp4

20.05MB

001.Introduction to NLP and our course/002. Welcome video.srt

7.25KB

001.Introduction to NLP and our course/003. Main approaches in NLP.mp4

30.05MB

001.Introduction to NLP and our course/003. Main approaches in NLP.srt

9.57KB

001.Introduction to NLP and our course/004. Brief overview of the next weeks.mp4

26.15MB

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

9.51KB

001.Introduction to NLP and our course/005. [Optional] Linguistic knowledge in NLP.mp4

35.03MB

001.Introduction to NLP and our course/005. [Optional] Linguistic knowledge in NLP.srt

12.73KB

002.How to from plain texts to their classification/006. Text preprocessing.mp4

51.26MB

002.How to from plain texts to their classification/006. Text preprocessing.srt

20.25KB

002.How to from plain texts to their classification/007. Feature extraction from text.mp4

48.3MB

002.How to from plain texts to their classification/007. Feature extraction from text.srt

18.34KB

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

36.13MB

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

12.59KB

002.How to from plain texts to their classification/009. Hashing trick in spam filtering.mp4

61.22MB

002.How to from plain texts to their classification/009. Hashing trick in spam filtering.srt

22.89KB

003.Simple deep learning for text classification/010. Neural networks for words.mp4

50.67MB

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

19.05KB

003.Simple deep learning for text classification/011. Neural networks for characters.mp4

27.92MB

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

10.44KB

004.Language modeling it's all about counting!/012. Count! N-gram language models.mp4

33.9MB

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

13.53KB

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

26.78MB

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

10.39KB

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

27.26MB

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

9.32KB

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

49.4MB

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

16.58KB

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

39.28MB

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

13.04KB

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

41.69MB

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

14.5KB

006.Deep Learning for the same tasks/018. Neural Language Models.mp4

31.48MB

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

11.83KB

006.Deep Learning for the same tasks/019. Whether you need to predict a next word or a label - LSTM is here to help!.mp4

42.93MB

006.Deep Learning for the same tasks/019. Whether you need to predict a next word or a label - LSTM is here to help!.srt

14.95KB

007.Word and sentence embeddings/020. Distributional semantics bee and honey vs. bee an bumblebee.mp4

28.26MB

007.Word and sentence embeddings/020. Distributional semantics bee and honey vs. bee an bumblebee.srt

11.02KB

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

45.81MB

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

15.38KB

007.Word and sentence embeddings/022. Word2vec and doc2vec (and how to evaluate them).mp4

39.44MB

007.Word and sentence embeddings/022. Word2vec and doc2vec (and how to evaluate them).srt

12.69KB

007.Word and sentence embeddings/023. Word analogies without magic king man + woman != queen.mp4

40.07MB

007.Word and sentence embeddings/023. Word analogies without magic king man + woman != queen.srt

12.81KB

007.Word and sentence embeddings/024. Why words From character to sentence embeddings.mp4

42.76MB

007.Word and sentence embeddings/024. Why words From character to sentence embeddings.srt

14.64KB

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

25.97MB

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

8.9KB

008.Topic models/026. How to train PLSA.mp4

23.52MB

008.Topic models/026. How to train PLSA.srt

8.62KB

008.Topic models/027. The zoo of topic models.mp4

51.26MB

008.Topic models/027. The zoo of topic models.srt

16.87KB

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

57.14MB

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

18.81KB

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

21.66MB

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

7.55KB

009.Statistical Machine Translation/030. Word Alignment Models.mp4

43.09MB

009.Statistical Machine Translation/030. Word Alignment Models.srt

15.41KB

010.Encoder-decoder-attention arhitecture/031. Encoder-decoder architecture.mp4

22.4MB

010.Encoder-decoder-attention arhitecture/031. Encoder-decoder architecture.srt

8.08KB

010.Encoder-decoder-attention arhitecture/032. Attention mechanism.mp4

31.18MB

010.Encoder-decoder-attention arhitecture/032. Attention mechanism.srt

12.09KB

010.Encoder-decoder-attention arhitecture/033. How to deal with a vocabulary.mp4

40.07MB

010.Encoder-decoder-attention arhitecture/033. How to deal with a vocabulary.srt

14.5KB

010.Encoder-decoder-attention arhitecture/034. How to implement a conversational chat-bot.mp4

38.18MB

010.Encoder-decoder-attention arhitecture/034. How to implement a conversational chat-bot.srt

14.17KB

011.Summarization and simplification tasks/035. Sequence to sequence learning one-size fits all.mp4

36.74MB

011.Summarization and simplification tasks/035. Sequence to sequence learning one-size fits all.srt

13.4KB

011.Summarization and simplification tasks/036. Get to the point! Summarization with pointer-generator networks.mp4

41.02MB

011.Summarization and simplification tasks/036. Get to the point! Summarization with pointer-generator networks.srt

15.32KB

012.Natural Language Understanding (NLU)/037. Task-oriented dialog systems.mp4

42.26MB

012.Natural Language Understanding (NLU)/037. Task-oriented dialog systems.srt

17.14KB

012.Natural Language Understanding (NLU)/038. Intent classifier and slot tagger (NLU).mp4

47.95MB

012.Natural Language Understanding (NLU)/038. Intent classifier and slot tagger (NLU).srt

18.47KB

012.Natural Language Understanding (NLU)/039. Adding context to NLU.mp4

17.07MB

012.Natural Language Understanding (NLU)/039. Adding context to NLU.srt

6.89KB

012.Natural Language Understanding (NLU)/040. Adding lexicon to NLU.mp4

28.37MB

012.Natural Language Understanding (NLU)/040. Adding lexicon to NLU.srt

10.04KB

013.Dialog Manager (DM)/041. State tracking in DM.mp4

44.94MB

013.Dialog Manager (DM)/041. State tracking in DM.srt

17.5KB

013.Dialog Manager (DM)/042. Policy optimisation in DM.mp4

27.08MB

013.Dialog Manager (DM)/042. Policy optimisation in DM.srt

10.06KB

013.Dialog Manager (DM)/043. Final remarks.mp4

21.62MB

013.Dialog Manager (DM)/043. Final remarks.srt

7.42KB

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133B

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119B

[FTU Forum].url

252B

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