[Coursera] Natural Language Processing Specialization

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[Coursera] Natural Language Processing Specialization
  • 0. Join Our Discord for More Awesome Stuff!.txt (0.1 KB)
    • 02_sentiment-analysis-with-naive-bayes 01_lecture-naive-bayes
    • 01_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-bayes
    • 04_01_naive-bayes_instructions.html (1.0 KB)
    02_lecture-notes-optional
    • 02_01_lecture-notes-w2_instructions.html (2.4 KB)
    • 02_01_lecture-notes-w2_www.deeplearning.ai (119.1 KB)
    03_practice-quiz
    • 03_01_naive-bayes_quiz.html (11.5 KB)
    01_sentiment-analysis-with-logistic-regression 01_lecture-logistic-regression
    • 01_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_negati

Description

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.



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seeders:31
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[Coursera] Natural Language Processing Specialization
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