Bayesian Machine Learning in Python: A/B Testing
Data Science, Machine Learning, and Data Analytics Techniques for Marketing, Digital Media, Online Advertising, and More
4.58 (7650 reviews)
43 713
students
10.5 hours
content
Jun 2025
last update
$99.99
regular price
What you will learn
Use adaptive algorithms to improve A/B testing performance
Understand the difference between Bayesian and frequentist statistics
Apply Bayesian methods to A/B testing
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Comidoc Review
Our Verdict
An excellent resource on Bayesian machine learning and A/B testing, this course excels with its in-depth content, real-world examples, and projects. Though the steep learning curve favors those with strong math backgrounds, it might deter beginners due to poor instructor communication and insufficient practical guidance in implementing concepts.
What We Liked
- Covers both theoretical and practical aspects of Bayesian machine learning in A/B testing
- Excellent real-world examples and projects that demonstrate the application of concepts learned
- Comprehensive and in-depth content, great for learners with a strong mathematical background
- Structured and detailed explanations, as well as numerous valuable resources provided
Potential Drawbacks
- Poor instructor communication and unfriendly responses to students' queries
- Lacks detailed explanation on when to stop or replace suboptimal ads in A/B testing
- Steep learning curve for beginners due to the mathematical nature of content
- Could benefit from more complete case studies demonstrating real-world implementation
1011712
udemy ID
14/11/2016
course created date
20/08/2019
course indexed date
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