[Coursera] Natural Language Processing Specialization

Category Other
Type Tutorials
Language English
Total size 861.5 MB
Uploaded By SunRiseZone

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Last checked 6 days ago
Date uploaded 1 week ago
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Leechers 4

NLP
Python

Infohash : EFCD5DB7D683AAC9457BD9BDF2614188D26A7976

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Course link: https://www.coursera.org/programs/career-training-for-nevadans-k7yhc/specializations/natural-language-processing

Break into NLP. Master cutting-edge NLP techniques through four hands-on courses! Updated with the latest techniques in October '21.

What you'll learn
Use logistic regression, naïve Bayes, and word vectors to implement sentiment analysis, complete analogies & translate words.

Use dynamic programming, hidden Markov models, and word embeddings to implement autocorrect, autocomplete & identify part-of-speech tags for words.

Use recurrent neural networks, LSTMs, GRUs & Siamese networks in Trax for sentiment analysis, text generation & named entity recognition.

Use encoder-decoder, causal, & self-attention to machine translate complete sentences, summarize text, build chatbots & question-answering.

Files: 
[Coursera] Natural Language Processing Specialization
0. Join Our Discord for More Awesome Stuff!.txt (0.1 KB)
02_sentiment-analysis-with-naive-bayes01_lecture-naive-bayes01_01_week-introduction.en.txt (0.5 KB)
01_01_week-introduction.en.srt (0.8 KB)
01_24_week-conclusion.en.txt (0.8 KB)
01_19_applications-of-naive-bayes_instructions.html (1.3 KB)
01_24_week-conclusion.en.srt (1.3 KB)
01_12_log-likelihood-part-2.en.txt (1.6 KB)
01_09_laplacian-smoothing_instructions.html (1.9 KB)
01_08_laplacian-smoothing.en.txt (2.3 KB)
01_12_log-likelihood-part-2.en.srt (2.6 KB)
01_02_probability-and-bayes-rule.en.txt (2.9 KB)
01_18_applications-of-naive-bayes.en.txt (2.9 KB)
01_20_naive-bayes-assumptions.en.txt (3.0 KB)
01_22_error-analysis.en.txt (3.1 KB)
01_14_training-naive-bayes.en.txt (3.2 KB)
01_04_bayes-rule.en.txt (3.6 KB)
01_08_laplacian-smoothing.en.srt (3.8 KB)
01_16_testing-naive-bayes.en.txt (4.0 KB)
01_06_naive-bayes-introduction.en.txt (4.8 KB)
01_20_naive-bayes-assumptions.en.srt (4.8 KB)
01_22_error-analysis.en.srt (5.1 KB)
01_10_log-likelihood-part-1.en.txt (5.2 KB)
01_02_probability-and-bayes-rule.en.srt (5.5 KB)
01_18_applications-of-naive-bayes.en.srt (5.5 KB)
01_14_training-naive-bayes.en.srt (6.2 KB)
01_04_bayes-rule.en.srt (6.9 KB)
01_16_testing-naive-bayes.en.srt (7.4 KB)
01_06_naive-bayes-introduction.en.srt (9.2 KB)
01_10_log-likelihood-part-1.en.srt (10.1 KB)
01_15_training-naive-bayes_instructions.html (228.3 KB)
01_13_log-likelihood-part-2_instructions.html (323.3 KB)
01_17_testing-naive-bayes_instructions.html (355.7 KB)
01_03_probability-and-bayes-rule_instructions.html (396.3 KB)
01_23_error-analysis_instructions.html (444.4 KB)
01_11_log-likelihood-part-1_instructions.html (576.5 KB)
01_05_bayes-rule_instructions.html (601.8 KB)
01_07_naive-bayes-introduction_instructions.html (718.5 KB)
01_21_naive-bayes-assumptions_instructions.html (1.7 MB)
01_01_week-introduction.mp4 (2.4 MB)
01_12_log-likelihood-part-2.mp4 (4.1 MB)
01_24_week-conclusion.mp4 (4.6 MB)
01_20_naive-bayes-assumptions.mp4 (5.6 MB)
01_18_applications-of-naive-bayes.mp4 (5.7 MB)
01_02_probability-and-bayes-rule.mp4 (6.5 MB)
01_08_laplacian-smoothing.mp4 (6.6 MB)
01_22_error-analysis.mp4 (6.7 MB)
01_14_training-naive-bayes.mp4 (7.1 MB)
01_04_bayes-rule.mp4 (7.7 MB)
01_16_testing-naive-bayes.mp4 (7.7 MB)
01_06_naive-bayes-introduction.mp4 (10.2 MB)
01_10_log-likelihood-part-1.mp4 (11.2 MB)
04_assignment-naive-bayes04_01_naive-bayes_instructions.html (1.0 KB)
02_lecture-notes-optional02_01_lecture-notes-w2_instructions.html (2.4 KB)
02_01_lecture-notes-w2_www.deeplearning.ai (119.1 KB)
03_practice-quiz03_01_naive-bayes_quiz.html (11.5 KB)
01_sentiment-analysis-with-logistic-regression01_lecture-logistic-regression01_24_week-conclusion.en.txt (0.5 KB)
01_04_week-introduction.en.txt (0.6 KB)
01_24_week-conclusion.en.srt (0.8 KB)
01_04_week-introduction.en.srt (1.2 KB)
01_02_welcome-to-course-1.en.txt (1.5 KB)
01_26_important-have-questions-issues-or-ideas-join-our-forum_instructions.html (1.6 KB)
01_18_logistic-regression-training.en.txt (1.8 KB)
01_14_putting-it-all-together.en.txt (2.0 KB)
01_10_feature-extraction-with-frequencies.en.txt (2.1 KB)
01_07_vocabulary-feature-extraction.en.txt (2.3 KB)
01_09_negative-and-positive-frequencies.en.txt (2.4 KB)
01_05_supervised-ml-sentiment-analysis.en.txt (2.4 KB)
01_16_logistic-regression-overview.en.txt (2.6 KB)
01_02_welcome-to-course-1.en.srt (2.8 KB)
01_12_preprocessing.en.txt (2.9 KB)
01_14_putting-it-all-together.en.srt (3.1 KB)
01_18_logistic-regression-training.en.srt (3.3 KB)
01_05_supervised-ml-sentiment-analysis.en.srt (3.8 KB)
01_20_logistic-regression-testing.en.txt (3.9 KB)
01_10_feature-extraction-with-frequencies.en.srt (4.0 KB)
01_01_welcome-to-the-nlp-specialization.en.txt (4.2 KB)
01_22_logistic-regression-cost-function.en.txt (4.5 KB)
01_07_vocabulary-feature-extraction.en.srt (4.5 KB)
01_09_negative-and-positive-frequencies.en.srt (4.5 KB)
01_16_logistic-regression-overview.en.srt (5.0 KB)
01_12_preprocessing.en.srt (5.5 KB)
01_25_optional-logistic-regression-gradient_instructions.html (5.8 KB)
01_01_welcome-to-the-nlp-specialization.en.srt (6.6 KB)
01_22_logistic-regression-cost-function.en.srt (6.8 KB)
01_20_logistic-regression-testing.en.srt (7.4 KB)
01_13_preprocessing_instructions.html (156.5 KB)
01_08_vocabulary-feature-extraction_instructions.html (196.0 KB)
01_03_acknowledgement-ken-church_instructions.html (232.8 KB)
01_21_logistic-regression-testing_instructions.html (295.6 KB)
01_23_optional-logistic-regression-cost-function_instructions.html (297.0 KB)
01_15_putting-it-all-together_instructions.html (345.8 KB)
01_19_logistic-regression-training_instructions.html (371.5 KB)
01_17_logistic-regression-overview_instructions.html (693.9 KB)
01_06_supervised-ml-sentiment-analysis_instructions.html (711.9 KB)
01_11_feature-extraction-with-frequencies_instructions.html (753.0 KB)
01_04_week-introduction.mp4 (2.9 MB)
01_24_week-conclusion.mp4 (3.2 MB)
01_14_putting-it-all-together.mp4 (4.8 MB)
01_18_logistic-regression-training.mp4 (5.3 MB)
01_10_feature-extraction-with-frequencies.mp4 (6.1 MB)
01_07_vocabulary-feature-extraction.mp4 (6.3 MB)
01_12_preprocessing.mp4 (6.4 MB)
01_16_logistic-regression-overview.mp4 (6.5 MB)
01_09_negative-and-positive-frequencies.mp4 (6.7 MB)
01_05_supervised-ml-sentiment-analysis.mp4 (6.8 MB)
01_22_logistic-regression-cost-function.mp4 (9.6 MB)
01_02_welcome-to-course-1.mp4 (10.0 MB)
01_20_logistic-regression-testing.mp4 (11.0 MB)
01_01_welcome-to-the-nlp-specialization.mp4 (25.5 MB)
04_assignment-sentiment-analysis-with-logistic-regression04_02_logistic-regression_instructions.html (1.8 KB)
04_01_optional-downloading-your-notebook-downloading-your-workspace-and-refreshing_instructions.html (4.9 KB)
02_lecture-notes-optional02_01_lecture-notes-w1_instructions.html (2.4 KB)
02_01_lecture-notes-w1_www.deeplearning.ai (119.1 KB)
03_practice-quiz03_01_logistic-regression_quiz.html (11.7 KB)
05_heroes-of-nlp-chris-manning-optional05_01_andrew-ng-with-chris-manning.en.txt (34.4 KB)
05_01_andrew-ng-with-chris-manning.en.srt (65.4 KB)
05_01_andrew-ng-with-chris-manning.mp4 (221.8 MB)
04_machine-translation-and-document-search01_lecture-machine-translation01_01_week-introduction.en.txt (0.7 KB)
01_17_week-conclusion.en.txt (0.9 KB)
01_17_week-conclusion.en.srt (1.3 KB)
01_01_week-introduction.en.srt (1.4 KB)
01_15_searching-documents.en.txt (1.5 KB)
01_02_overview.en.txt (1.9 KB)
01_15_searching-documents.en.srt (2.3 KB)
01_05_k-nearest-neighbors.en.txt (3.0 KB)
01_11_multiple-planes.en.txt (3.1 KB)
01_13_approximate-nearest-neighbors.en.txt (3.2 KB)
01_07_hash-tables-and-hash-functions.en.txt (3.4 KB)
01_02_overview.en.srt (3.5 KB)
01_09_locality-sensitive-hashing.en.txt (4.8 KB)
01_13_approximate-nearest-neighbors.en.srt (5.1 KB)
01_05_k-nearest-neighbors.en.srt (5.6 KB)
01_11_multiple-planes.en.srt (5.9 KB)
01_07_hash-tables-and-hash-functions.en.srt (6.4 KB)
01_03_transforming-word-vectors.en.txt (6.7 KB)
01_09_locality-sensitive-hashing.en.srt (7.5 KB)
01_03_transforming-word-vectors.en.srt (10.6 KB)
01_06_k-nearest-neighbors_instructions.html (333.8 KB)
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01_14_approximate-nearest-neighbors_instructions.html (461.4 KB)
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01_04_transforming-word-vectors_instructions.html (520.7 KB)
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01_02_overview.mp4 (3.3 MB)
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01_15_searching-documents.mp4 (4.8 MB)
01_17_week-conclusion.mp4 (5.1 MB)
01_05_k-nearest-neighbors.mp4 (6.4 MB)
01_11_multiple-planes.mp4 (7.1 MB)
01_13_approximate-nearest-neighbors.mp4 (7.2 MB)
01_07_hash-tables-and-hash-functions.mp4 (8.1 MB)
01_09_locality-sensitive-hashing.mp4 (9.6 MB)
01_03_transforming-word-vectors.mp4 (11.0 MB)
05_assignment-machine-translation05_01_word-translation_instructions.html (1.1 KB)
06_acknowledgments-and-bibliography06_02_bibliography_instructions.html (1.2 KB)
06_01_acknowledgements_instructions.html (4.5 KB)
04_end-of-access-to-lab-notebooks04_01_important-reminder-about-end-of-access-to-lab-notebooks_instructions.html (2.2 KB)
02_lecture-notes-optional02_01_lecture-notes-w4_instructions.html (2.4 KB)
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03_practice-quiz03_01_hashing-and-machine-translation_quiz.html (8.7 KB)
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01_19_week-conclusion.en.txt (0.8 KB)
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01_06_euclidean-distance.en.txt (3.0 KB)
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01_02_vector-space-models.mp4 (6.2 MB)
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01_10_cosine-similarity.mp4 (7.5 MB)
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