Log Likelihood, Part 1

Loading...
View Syllabus

Skills You'll Learn

Machine Translation, Word Embeddings, Locality-Sensitive Hashing, Sentiment Analysis, Vector Space Models

Reviews

4.6 (1,592 ratings)
  • 5 stars
    73.36%
  • 4 stars
    20.79%
  • 3 stars
    3.83%
  • 2 stars
    1.19%
  • 1 star
    0.81%
OA

Aug 17, 2020

Awesome. The lecture are very exciting and detailed, though little hard and too straight forward sometimes, but Youtube helped in Regression models. Other then that, I was very informative and fun.

JM

Aug 02, 2020

Video lectures are short and concise. The basic ideas are well presented. Some references for the details of vector subspaces and spanning vectors would have filled out the mathematical framework.

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

Taught By

  • Placeholder

    Younes Bensouda Mourri

    Course Instructor
  • Placeholder

    Łukasz Kaiser

    Course Instructor
  • Placeholder

    Eddy Shyu

    Senior Curriculum Developer

Explore our Catalog

Join for free and get personalized recommendations, updates and offers.