Coursera - Natural Language Processing with Probabilistic Models

Files Included :

01 intro-to-course-2.mp4 (9.4 MB)
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02 overview.mp4 (2.75 MB)
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04 autocorrect.mp4 (4.13 MB)
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06 building-the-model.mp4 (4.83 MB)
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08 building-the-model-ii.mp4 (3.58 MB)
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10 minimum-edit-distance.mp4 (3.4 MB)
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12 minimum-edit-distance-algorithm.mp4 (7.8 MB)
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14 minimum-edit-distance-algorithm-ii.mp4 (5.07 MB)
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16 minimum-edit-distance-algorithm-iii.mp4 (4.68 MB)
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01 part-of-speech-tagging.mp4 (4.66 MB)
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03 markov-chains.mp4 (5.16 MB)
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05 markov-chains-and-pos-tags.mp4 (6.51 MB)
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07 hidden-markov-models.mp4 (6.3 MB)
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09 calculating-probabilities.mp4 (5.37 MB)
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11 populating-the-transition-matrix.mp4 (5.99 MB)
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13 populating-the-emission-matrix.mp4 (3.26 MB)
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15 the-viterbi-algorithm.mp4 (4.99 MB)
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17 viterbi-initialization.mp4 (4.83 MB)
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19 viterbi-forward-pass.mp4 (4.65 MB)
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21 viterbi-backward-pass.mp4 (9.46 MB)
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01 n-grams-overview.mp4 (4.39 MB)
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03 n-grams-and-probabilities.mp4 (10.87 MB)
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05 sequence-probabilities.mp4 (8.93 MB)
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07 starting-and-ending-sentences.mp4 (11.08 MB)
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09 the-n-gram-language-model.mp4 (8.69 MB)
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11 language-model-evaluation.mp4 (10.7 MB)
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13 out-of-vocabulary-words.mp4 (7.17 MB)
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15 smoothing.mp4 (11.07 MB)
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17 week-summary.mp4 (1.53 MB)
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01 overview.mp4 (4.51 MB)
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03 basic-word-representations.mp4 (5.58 MB)
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05 word-embeddings.mp4 (4.57 MB)
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07 how-to-create-word-embeddings.mp4 (4.65 MB)
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09 word-embedding-methods.mp4 (3.98 MB)
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11 continuous-bag-of-words-model.mp4 (5.95 MB)
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13 cleaning-and-tokenization.mp4 (5.57 MB)
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15 sliding-window-of-words-in-python.mp4 (4.29 MB)
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17 transforming-words-into-vectors.mp4 (3.43 MB)
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19 architecture-of-the-cbow-model.mp4 (5.7 MB)
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21 architecture-of-the-cbow-model-dimensions.mp4 (4.05 MB)
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23 architecture-of-the-cbow-model-dimensions-2.mp4 (3.49 MB)
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25 architecture-of-the-cbow-model-activation-functions.mp4 (5.45 MB)
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27 training-a-cbow-model-cost-function.mp4 (7.77 MB)
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29 training-a-cbow-model-forward-propagation.mp4 (4.88 MB)
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31 training-a-cbow-model-backpropagation-and-gradient-descent.mp4 (6.25 MB)
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33 extracting-word-embedding-vectors.mp4 (4.9 MB)
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35 evaluating-word-embeddings-intrinsic-evaluation.mp4 (5.27 MB)
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37 evaluating-word-embeddings-extrinsic-evaluation.mp4 (2.88 MB)
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39 conclusion.mp4 (3.3 MB)
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