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Bayesian Thinking

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Certification

Bayesian Thinking

Learn how to combine statistics with external knowledge to make predictions

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Description

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Features

This course includes

Duration

3 hours
Video Content
3 hours
Level
Intermediate
Instruction Type
Self Paced
Delivery Method
Online
Available on
Desktop, Laptop
Accessibility
Limited Access
Language
English
Subtitles
English

Skills

Data ModellingLinear RegressionProbabilityDecision MakingMachine LearningProblem SolvingData AnalysisBayesian Designs

Learning Goals

Describe, compare, and contrast the three main approaches to probability
Understand the fundamentals of the Bayesian approach—such as conditional probability, priors, and updating beliefs
Apply Bayesian methods such as Bayes theorem and contingency tables to simple problems
Describe two Bayesian machine learning methods—multinomial and gaussian Bayes classifiers
Recognize the benefits of using these machine learning methods for modeling complex scenarios
Evaluate the results of the machine learning tests against business goals in Python

Course Content

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Target Audience

Business Intelligence Analyst
Data Scientist
Data Visualization Specialist

Course Overview

Case Studies, Instructor-Moderated Discussions

Post course interactions

Case-Based Learning

Personalized Teaching

FAQs

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₹3,018

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