Bayesian Statistics
Bayesian statistics is a framework based on Bayes’ Theorem, which has revolutionized many industries by dealing with probability distributions differently (as Bayes would say: Common sense expressed in numbers). The Bayesian interpretation of ‘probability’ defines probability as a degree of belief that an event will occur given prior experiences. In this 2-day deep-dive into Bayesian statistics, you’ll discover how to solve multi-armed bandits using techniques such as Markov chain Monte Carlo, Variational Inference, and much more.
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Rozaliia Khafizova
Data and AI Training Advisor
What will you learn?
After the training, you will be able to:
Explain the theory of Bayesian Statistics and how it differs from the classical approach.
Apply Bayes’ Theorem to real-world problems.
Use PyMC to put Bayesian statistics into practice
Program
- Introduction to Bayesian statistics
- Bayes’ Theorem
- Bayesian Coin Flipping
- The Bayesian Paradigm
- Introduction to PyMC3 and distributions
- Bayesian Modelling in practice
- Markov Chain Monte Carlo with PyMC3
This training is for you if:
You already understand basic statistics.
You are interested in learning about Bayesian statistics and how it differs from the frequentist approach.
You want to improve your visualisations so they help your audience understand the message.
This training is not for you if:
You are missing the fundamentals of statistics (check out our A/B Testing and Experiments training instead)
You have never used Python before.
You only want the basic concepts without going more deeply into statistics.
Why should I follow this training?
It is much more intuitive and easier to convey results to stakeholders without a technical background
Learn what Bayesian statistics is and how to apply it to real-world problems.
Understand the theory of Bayesian Statistics
What else
should I know?
After registering for this training, you will receive a confirmation email with practical information. A week before the training, we will ask you about any dietary requirements and share literature if you need to prepare.
See you soon!
Course information
All literature and course materials are included in the price.
After registering for this course, you will receive a confirmation email with practical information.
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