DeepLearning.AI
Natural Language Processing with Classification and Vector Spaces
DeepLearning.AI

Natural Language Processing with Classification and Vector Spaces

This course is part of Natural Language Processing Specialization

Taught in English

Some content may not be translated

Younes Bensouda Mourri
Łukasz Kaiser
Eddy Shyu

Instructors: Younes Bensouda Mourri

181,220 already enrolled

Course

Gain insight into a topic and learn the fundamentals

4.6

(4,352 reviews)

|

95%

Intermediate level

Recommended experience

33 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

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

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

4 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.6

(4,352 reviews)

|

95%

Intermediate level

Recommended experience

33 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Natural Language Processing Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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There are 4 modules in this course

Learn to extract features from text into numerical vectors, then build a binary classifier for tweets using a logistic regression!

What's included

15 videos14 readings1 quiz1 programming assignment1 app item3 ungraded labs

Learn the theory behind Bayes' rule for conditional probabilities, then apply it toward building a Naive Bayes tweet classifier of your own!

What's included

13 videos12 readings1 quiz1 programming assignment1 ungraded lab

Vector space models capture semantic meaning and relationships between words. You'll learn how to create word vectors that capture dependencies between words, then visualize their relationships in two dimensions using PCA.

What's included

10 videos10 readings1 quiz1 programming assignment3 ungraded labs

Learn to transform word vectors and assign them to subsets using locality sensitive hashing, in order to perform machine translation and document search.

What's included

11 videos11 readings1 quiz1 programming assignment2 ungraded labs

Instructors

Instructor ratings
4.6 (1,295 ratings)
Younes Bensouda Mourri
DeepLearning.AI
5 Courses205,883 learners

Offered by

DeepLearning.AI

Recommended if you're interested in Machine Learning

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Showing 3 of 4352

4.6

4,352 reviews

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PP
4

Reviewed on Jan 9, 2024

YB
5

Reviewed on Oct 15, 2022

JM
5

Reviewed on Aug 1, 2020

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