Download Free Download : Coursera - Natural Language Processing with Classification and Vector Spaces
mp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:806.55 MB
Files Included :
01 welcome-to-the-nlp-specialization.mp4 (26.64 MB)
MP4
02 welcome-to-course-1.mp4 (10.49 MB)
MP4
04 supervised-ml-sentiment-analysis.mp4 (6.79 MB)
MP4
06 vocabulary-feature-extraction.mp4 (6.49 MB)
MP4
08 negative-and-positive-frequencies.mp4 (6.62 MB)
MP4
09 feature-extraction-with-frequencies.mp4 (6.28 MB)
MP4
11 preprocessing.mp4 (6.66 MB)
MP4
13 putting-it-all-together.mp4 (5.02 MB)
MP4
15 logistic-regression-overview.mp4 (6.69 MB)
MP4
17 logistic-regression-training.mp4 (5.42 MB)
MP4
19 logistic-regression-testing.mp4 (11.39 MB)
MP4
21 logistic-regression-cost-function.mp4 (9.9 MB)
MP4
01 andrew-ng-with-chris-manning.mp4 (231.13 MB)
MP4
01 probability-and-bayes-rule.mp4 (3.51 MB)
MP4
03 bayes-rule.mp4 (4.69 MB)
MP4
05 naive-bayes-introduction.mp4 (10.54 MB)
MP4
07 laplacian-smoothing.mp4 (2.79 MB)
MP4
09 log-likelihood-part-1.mp4 (9.18 MB)
MP4
11 log-likelihood-part-2.mp4 (3.67 MB)
MP4
13 training-naive-bayes.mp4 (7.29 MB)
MP4
15 testing-naive-bayes.mp4 (7.98 MB)
MP4
17 applications-of-naive-bayes.mp4 (6.7 MB)
MP4
19 naive-bayes-assumptions.mp4 (6.17 MB)
MP4
21 error-analysis.mp4 (7.67 MB)
MP4
01 vector-space-models.mp4 (6.44 MB)
MP4
03 word-by-word-and-word-by-doc.mp4 (9.73 MB)
MP4
05 euclidean-distance.mp4 (6.09 MB)
MP4
07 cosine-similarity-intuition.mp4 (4.5 MB)
MP4
09 cosine-similarity.mp4 (4.78 MB)
MP4
11 manipulating-words-in-vector-spaces.mp4 (8.37 MB)
MP4
13 visualization-and-pca.mp4 (5.81 MB)
MP4
15 pca-algorithm.mp4 (6.16 MB)
MP4
01 overview.mp4 (2.16 MB)
MP4
02 transforming-word-vectors.mp4 (11.53 MB)
MP4
04 k-nearest-neighbors.mp4 (5.98 MB)
MP4
06 hash-tables-and-hash-functions.mp4 (4.08 MB)
MP4
08 locality-sensitive-hashing.mp4 (8.23 MB)
MP4
10 multiple-planes.mp4 (6.23 MB)
MP4
12 approximate-nearest-neighbors.mp4 (8.18 MB)
MP4
14 searching-documents.mp4 (6.29 MB)
MP4
01 andrew-ng-with-kathleen-mckeown.mp4 (292.29 MB)
MP4
MP4
02 welcome-to-course-1.mp4 (10.49 MB)
MP4
04 supervised-ml-sentiment-analysis.mp4 (6.79 MB)
MP4
06 vocabulary-feature-extraction.mp4 (6.49 MB)
MP4
08 negative-and-positive-frequencies.mp4 (6.62 MB)
MP4
09 feature-extraction-with-frequencies.mp4 (6.28 MB)
MP4
11 preprocessing.mp4 (6.66 MB)
MP4
13 putting-it-all-together.mp4 (5.02 MB)
MP4
15 logistic-regression-overview.mp4 (6.69 MB)
MP4
17 logistic-regression-training.mp4 (5.42 MB)
MP4
19 logistic-regression-testing.mp4 (11.39 MB)
MP4
21 logistic-regression-cost-function.mp4 (9.9 MB)
MP4
01 andrew-ng-with-chris-manning.mp4 (231.13 MB)
MP4
01 probability-and-bayes-rule.mp4 (3.51 MB)
MP4
03 bayes-rule.mp4 (4.69 MB)
MP4
05 naive-bayes-introduction.mp4 (10.54 MB)
MP4
07 laplacian-smoothing.mp4 (2.79 MB)
MP4
09 log-likelihood-part-1.mp4 (9.18 MB)
MP4
11 log-likelihood-part-2.mp4 (3.67 MB)
MP4
13 training-naive-bayes.mp4 (7.29 MB)
MP4
15 testing-naive-bayes.mp4 (7.98 MB)
MP4
17 applications-of-naive-bayes.mp4 (6.7 MB)
MP4
19 naive-bayes-assumptions.mp4 (6.17 MB)
MP4
21 error-analysis.mp4 (7.67 MB)
MP4
01 vector-space-models.mp4 (6.44 MB)
MP4
03 word-by-word-and-word-by-doc.mp4 (9.73 MB)
MP4
05 euclidean-distance.mp4 (6.09 MB)
MP4
07 cosine-similarity-intuition.mp4 (4.5 MB)
MP4
09 cosine-similarity.mp4 (4.78 MB)
MP4
11 manipulating-words-in-vector-spaces.mp4 (8.37 MB)
MP4
13 visualization-and-pca.mp4 (5.81 MB)
MP4
15 pca-algorithm.mp4 (6.16 MB)
MP4
01 overview.mp4 (2.16 MB)
MP4
02 transforming-word-vectors.mp4 (11.53 MB)
MP4
04 k-nearest-neighbors.mp4 (5.98 MB)
MP4
06 hash-tables-and-hash-functions.mp4 (4.08 MB)
MP4
08 locality-sensitive-hashing.mp4 (8.23 MB)
MP4
10 multiple-planes.mp4 (6.23 MB)
MP4
12 approximate-nearest-neighbors.mp4 (8.18 MB)
MP4
14 searching-documents.mp4 (6.29 MB)
MP4
01 andrew-ng-with-kathleen-mckeown.mp4 (292.29 MB)
MP4
Code:
Bitte
Anmelden
oder
Registrieren
um Code Inhalt zu sehen!
Code:
Bitte
Anmelden
oder
Registrieren
um Code Inhalt zu sehen!
Code:
Bitte
Anmelden
oder
Registrieren
um Code Inhalt zu sehen!