Bayesian Methods for Machine Learning

31798 students

Description:

People apply Bayesian methods in many areas: from game development to drug discovery. They give superpowers to many machine learning algorithms: handling missing data, extracting much more information from small datasets.

Bayesian methods also allow us to estimate uncertainty in predictions, which is a desirable feature for fields like medicine. When applied to deep learning, Bayesian methods allow you to compress your models a hundred folds, and automatically tune hyperparameters, saving your time and money.

 

ENROLL FREE HERE

 

 

Start Today with a 7-Day Free Trial

  1. Taught by top companies and universities
  2. Affordable programs and 7 day free trial
  3. Apply your skills with hands-on projects
  4. Learn on your own schedule
  5. Course videos and readings
  6. Graded quizzes and assignments
  7. No degree or experience required for many programs
  8. Shareable Certificate upon completion

 

Get Financial Aid Before It Lasts

 

Instructor

Coursera

$37.99