Bayesian Statistics

Data Analytics
Data and AI

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.

Looking to upskill your team(s) or organization?


Diego will gladly help you further with custom training solutions

Diego Teunissen
Data and AI Training Advisor

+31 6 1591 4440
Diego.Teunissen@xebia.com
linkedin.com/in/diego-teunissen

Get in touch

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. 

Upcoming courses

View all trainings
Introduction to Deep Learning for Computer Vision

Master neural networks and deep learning and understand AI’s visual capabilities with our two-day introductionary Deep Learning course.

Enrico Erler

Deep Learning
2 days
Virtual

Next:

15 – 16 Jul, 2024

From:

€1415

View training
LLMOps on Azure

Dive into the practical aspects of deploying and managing Large Language Model (LLM) applications with Azure.

GenAI
Microsoft Azure
View training
LLMOps on GCP

Dive into the practical aspects of deploying and managing Large Language Model (LLM) applications with the Google Cloud Platform (GCP).

GenAI
Google Cloud Platform (GCP)
View training
MLOps on AWS

Discover what MLOps is and how you can apply it in AWS (Amazon Web Services) with our MLOps on AWS training course.

AWS
Cloud
Data Engineering
Machine Learning
View training
Introduction to Generative AI

Get a non-technical introduction to the field of Generative AI and learn best practices when using Generative AI tools.

Lysanne van Beek

Generative AI
0.5 days
Virtual

Next:

25 Jun, 2024

From:

€350

View training

Can’t find the course you’re looking for? There’s more!