Acerca de este Curso

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Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel intermedio
Aprox. 29 horas para completar
Inglés (English)

Habilidades que obtendrás

Machine TranslationWord EmbeddingsLocality-Sensitive HashingSentiment AnalysisVector Space Models
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel intermedio
Aprox. 29 horas para completar
Inglés (English)

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deeplearning.ai

Programa - Qué aprenderás en este curso

Calificación del contenidoThumbs Up97%(7,321 calificaciones)Info
Semana
1

Semana 1

9 horas para completar

Sentiment Analysis with Logistic Regression

9 horas para completar
13 videos (Total 84 minutos), 13 lecturas, 1 cuestionario
13 videos
Welcome to Course 11m
Supervised ML & Sentiment Analysis2m
Vocabulary & Feature Extraction2m
Negative and Positive Frequencies2m
Feature Extraction with Frequencies2m
Preprocessing3m
Putting it All Together2m
Logistic Regression Overview3m
Logistic Regression: Training1m
Logistic Regression: Testing4m
Logistic Regression: Cost Function5m
Andrew Ng with Chris Manning46m
13 lecturas
Connect with your mentors and fellow learners on Slack!10m
Acknowledgement - Ken Church10m
Supervised ML & Sentiment Analysis2m
Vocabulary & Feature Extraction2m
Feature Extraction with Frequencies10m
Preprocessing10m
Putting it all together10m
Logistic Regression Overview10m
Logistic Regression: Training10m
Logistic Regression: Testing10m
Optional Logistic Regression: Cost Function10m
Optional Logistic Regression: Gradient10m
How to refresh your workspace10m
Semana
2

Semana 2

7 horas para completar

Sentiment Analysis with Naïve Bayes

7 horas para completar
11 videos (Total 40 minutos), 11 lecturas, 1 cuestionario
11 videos
Bayes’ Rule3m
Naïve Bayes Introduction5m
Laplacian Smoothing2m
Log Likelihood, Part 15m
Log Likelihood, Part 21m
Training Naïve Bayes3m
Testing Naïve Bayes4m
Applications of Naïve Bayes3m
Naïve Bayes Assumptions3m
Error Analysis3m
11 lecturas
Probability and Bayes’ Rule10m
Bayes' Rule10m
Naive Bayes Introduction10m
Laplacian Smoothing10m
Log Likelihood, Part 110m
Log Likelihood Part 210m
Training naïve Bayes10m
Testing naïve Bayes10m
Applications of Naive Bayes10m
Naïve Bayes Assumptions10m
Error Analysis10m
Semana
3

Semana 3

6 horas para completar

Vector Space Models

6 horas para completar
8 videos (Total 26 minutos)
8 videos
Word by Word and Word by Doc. 4m
Euclidean Distance3m
Cosine Similarity: Intuition2m
Cosine Similarity3m
Manipulating Words in Vector Spaces3m
Visualization and PCA3m
PCA Algorithm3m
Semana
4

Semana 4

6 horas para completar

Machine Translation and Document Search

6 horas para completar
9 videos (Total 65 minutos), 2 lecturas, 1 cuestionario
9 videos
Transforming word vectors6m
K-nearest neighbors3m
Hash tables and hash functions3m
Locality sensitive hashing5m
Multiple Planes3m
Approximate nearest neighbors3m
Searching documents1m
Andrew Ng with Kathleen McKeown35m
2 lecturas
Acknowledgements10m
Bibliography10m

Reseñas

Principales reseñas sobre NATURAL LANGUAGE PROCESSING WITH CLASSIFICATION AND VECTOR SPACES

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Procesamiento de lenguajes naturales

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