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Bayesian Machine Learning in Python: A/B Testing
by Lazy Programmer Inc. · Udemy
4.6(5,500 reviews)
35K+ enrolled12 hoursUpdated 2024-07
What You'll Learn
Understand the fundamentals and key concepts of statistics
Apply statistics techniques to solve real-world problems
Understand the fundamentals and key concepts of Bayesian methods
Apply Bayesian methods techniques to solve real-world problems
Understand the fundamentals and key concepts of A/B testing
Apply A/B testing techniques to solve real-world problems
About This Course
Apply Bayesian statistics to A/B testing, including conjugate priors, Thompson sampling, and Bayesian neural networks.
Curriculum
Module 1: Statistics & Bayesian methods6 lessons
- Introduction to statistics
- Statistics in Practice
- Hands-on Exercise: Statistics
- Introduction to Bayesian methods
- Bayesian methods in Practice
- Hands-on Exercise: Bayesian methods
Module 2: A/B testing & Machine learning6 lessons
- Introduction to A/B testing
- A/B testing in Practice
- Hands-on Exercise: A/B testing
- Introduction to machine learning
- Machine learning in Practice
- Hands-on Exercise: Machine learning
Module 3: Python3 lessons
- Introduction to Python
- Python in Practice
- Hands-on Exercise: Python
Instructor
Lazy Programmer Inc.
Instructor at Udemy
Pros & Cons
Pros
- Offers a certificate of completion
- High-quality video lectures
- Taught by Lazy Programmer Inc.
- Well-structured curriculum
Cons
- Requires paid subscription
- Requires significant prior knowledge
- Self-paced requires discipline
$12.99
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