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IN-COMPANY TRAINING PROGRAMS

Contact Gert-Jan Steltenpool, if you want to know more about custom data & AI training for your teams. He’ll be happy to help you!
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Deep Dive into Bayesian Modeling

Bayesian probability is a powerful technique that has revolutionized many industries by dealing with probability distributions in a different way. Discover techniques such as Markov chain Monte Carlo and Variational Inference, and how to solve multi-armed bandits. This 2-day training offers a deep-dive into this and much more!

Clients we've helped

  • DSM is a GoDataDriven customer
  • Dupont - GoDataDriven customer
  • Logo-Booking.com
  • lego-logo
  • Airbus-logo
  • Merck-logo
  • Ahold Delhaize
  • Credit-Suisse-Logo
  • Shell-Logo
  • ING Bank
  • Danone logo
  • Nike-logo
  • tomtom_logo
  • Verizon-logo

What you'll learn

You will learn:

  • The theorem that underlies Bayesian data analysis and learn to apply it to solve probabilistic problems.
  • How Bayes’ Theorem can be applied to data and make yourself comfortable with the Bayesian terminology: prior distributions, likelihoods, and posterior distributions.
  • How The Bayesian paradigm is fundamentally different than the (more famous) “frequentist” paradigm.

  • The (practical) pros and cons of working with either the Bayesian or the frequentist approach.
  • Markov chain Monte Carlo (MCMC) methods
  • How Variational inference offers an alternative to MCMC that is suitable to (very) big data.

The schedule

Day 1: Theory and Hands-On Labs
  • Fundamentals: Bayes’ Theory
  • From Bayes’ Theorem to Bayesian Data Analysis
  • The Bayesian’ Paradigm
  • Markov chain Monte Carlo with PyMC3
  • Variational Inference: Big Data Bayesian Data Analysis

 

Day 2: Hackathon: Multi-Armed Bandits with the Bayesian approach

Multi-armed bandit problems (like for example A/B testing) can be solved by using Bayesian modeling. Participants will be presented with the simulation environment for Multi-armed bandits and encouraged to code a Bayesian decision-making algorithm. A perfect opportunity to creatively brainstorm and learn more about practical applications of Bayesian theory and effectively balancing the exploration-exploitation tradeoff

learning journey

Data Science Learning Journey

This Bayesian Modeling training is perfect for

  1. Data Scientists who know Machine Learning and want to learn about Bayesian statistics.
  2. This training is especially suited for Data Scientists who want to go beyond the standard probability theory.
  3. To get the most out of this training, we advise that you have at least one year of working experience with Python.

What will you learn during the Bayesian Modeling training:

  1. You will understand what makes Bayesian Probability so powerful, especially compared to the traditional frequentist approach.
  2. You will learn how to use the PyMC for building Bayesian models.
  3. We will also teach you how to apply Markov Chain Monte Carlo, Variational inference and other applications of Bayesian modeling in practice.
meet your trainer

Vadim Nelidov

Data Enchanter

Vadim is Data Scientist passionate about solving data-driven problems and sharing his analytical insights to make Data literacy a reality for all.

Flexible delivery

The Right Format For Your Preferred Learning Style

In-Classroom & In-Company Training
Online, Instructor-Led Training
Hybrid and Blended Learning
Self-Paced Training
Get in touch with the experts

Have any questions?

Contact Gert-Jan Steltenpool, the sales director of GoDataDriven Academy if you want to know more. He’ll be happy to help you!

You can reach him by phone as well at +31 6 4214 0783

Course: Bayesian Modeling Training

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