About this Course

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Shareable Certificate
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Coursera Labs
Includes hands on learning projects.
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Intermediate Level

Working knowledge of machine learning, intermediate Python experience including DL frameworks & proficiency in calculus, linear algebra, & stats

Approx. 34 hours to complete
English

What you will learn

  • Use logistic regression, naïve Bayes, and word vectors to implement sentiment analysis, complete analogies & translate words.

Skills you will gain

  • Machine Translation
  • Word Embeddings
  • Locality-Sensitive Hashing
  • Sentiment Analysis
  • Vector Space Models
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Intermediate Level

Working knowledge of machine learning, intermediate Python experience including DL frameworks & proficiency in calculus, linear algebra, & stats

Approx. 34 hours to complete
English

Offered by

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DeepLearning.AI

Syllabus - What you will learn from this course

Content RatingThumbs Up96%(24,155 ratings)
Week1
Week 1
10 hours to complete

Sentiment Analysis with Logistic Regression

10 hours to complete
15 videos (Total 85 min), 13 readings, 5 quizzes
Week2
Week 2
7 hours to complete

Sentiment Analysis with Naïve Bayes

7 hours to complete
13 videos (Total 44 min), 11 readings, 3 quizzes
Week3
Week 3
9 hours to complete

Vector Space Models

9 hours to complete
10 videos (Total 29 min), 9 readings, 3 quizzes
Week4
Week 4
8 hours to complete

Machine Translation and Document Search

8 hours to complete
11 videos (Total 68 min), 9 readings, 3 quizzes

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About the Natural Language Processing Specialization

Natural Language Processing

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