Save for later

Tensorflow

Dans ce projet guidé, vous créerez un modèle de Machine Learning d’analyse de sentiments par classification de textes avec Tensorflow, en utilisant le plongement de mots (Word Embedding). Vous allez vous exercer avec des données collectées sur le site www.allocine.fr Le word embedding est une méthode d'apprentissage d'une représentation de mots utilisée traitement automatique des langues. Il donne d’excellents résultats comme vous pourrez le constater dans ce projet guidé. Ce cours est destiné aux ingénieurs en Machine Learning, au Data Scientists et tous les curieux désireux d’apprendre à faire de la classification de textes facilement.
Get Details and Enroll Now

OpenCourser is an affiliate partner of Coursera.

Get a Reminder

Send to:
Rating Not enough ratings
Length 2 weeks
Effort 2 hours
Starts Dec 28 (3 weeks ago)
Cost $9
From Coursera Project Network via Coursera
Instructor ELINGUI Pascal Uriel
Download Videos On all desktop and mobile devices
Language French
Subjects Data Science Programming
Tags Data Science Data Analysis Machine Learning

Get a Reminder

Send to:

Similar Courses

Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

Youth/CE Pastor $44k

Assoc CE Analyst Contractor $65k

Territory CE $75k

CE Technician $77k

CE Contractor $79k

SEABEE / CE $86k

Vice Senior President CE $97k

CE Lead 1 $134k

Group Program Manager, Windows CE Manager $175k

CE Instrumentation PM Lead $178k

Group Program Manager, Windows CE Lead $179k

Senior Group Program Manager, Windows CE $237k

Write a review

Your opinion matters. Tell us what you think.

Rating Not enough ratings
Length 2 weeks
Effort 2 hours
Starts Dec 28 (3 weeks ago)
Cost $9
From Coursera Project Network via Coursera
Instructor ELINGUI Pascal Uriel
Download Videos On all desktop and mobile devices
Language French
Subjects Data Science Programming
Tags Data Science Data Analysis Machine Learning

Similar Courses

Sorted by relevance

Like this course?

Here's what to do next:

  • Save this course for later
  • Get more details from the course provider
  • Enroll in this course
Enroll Now