Bayesian Thinking
Course Report
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Course Features
Duration
3 hours
Delivery Method
Online
Available on
Limited Access
Accessibility
Desktop, Laptop
Language
English
Subtitles
English
Level
Intermediate
Teaching Type
Self Paced
Video Content
3 hours
Course Description
Course Overview
Personlized Teaching
Case Based Learning
Post Course Interactions
Case Studies,Instructor-Moderated Discussions
Skills You Will Gain
What You Will Learn
Apply Bayesian methods such as Bayes theorem and contingency tables to simple problems
Describe, compare, and contrast the three main approaches to probability
Describe two Bayesian machine learning methods—multinomial and gaussian Bayes classifiers
Evaluate the results of the machine learning tests against business goals in Python
Recognize the benefits of using these machine learning methods for modeling complex scenarios
Understand the fundamentals of the Bayesian approach—such as conditional probability, priors, and updating beliefs
Target Students
Data Scientist
Data Visualization Specialist
Business Intelligence Analyst