Bayes in Action

Bayesian statistics is making an irreversible global push in all conceivable areas. Despite the simplicity of the formula Bayesian statistics is complex, so complex that it could barely be applied until recently. Thanks to the power of computers and the development of smart algorithms that is past.

for whom

R&D department managers, bio-information researchers, data scientists, econometricians, epidemiologists, pharma scientists, financial managers, forensic investigators, geologists, medical researchers, healthcare managers, market investigators, physicists, space researchers, statisticians, astronomers, meteorologists, and, last but not least, PhD students.

about the course

The basic topics are:
  • what is your model?
  • the ubiquitous Gaussian distribution
  • overfitting the data, which often goes unnoticed
  • regression models, how to optimize the parameters
  • model selection, finding the best model
  • missing data, how to overcome these
  • prediction models and their uncertainty
  • non‐linear models and aliasing

Furthermore, a number of Machine Learning topics discussed, along with their pitfalls! Emphasis is given to practical applications of Bayesian probability theory. Some Wolfram Language will also be demonstrated. A notebook is provided as course material.

skills

A basic mathematical and statistical background is assumed.

location

Regular courses are held at our office in Amsterdam. Sometimes we provide the courses on site. The location is then mentioned in the agenda below.

dates

11 October 2016, 10.00-17.00 Amsterdam
24 November 2016, 10.00-17.00 Amsterdam

price

Standard rate: euro 495+VAT
***Discounted rate: euro 95+VAT for (PhD) students upon request and approval

by

Dr. Romke Bontekoe

Romke Bontekoe taught himself Bayes in the daily practice. Just by applying Bayes to challenges where standard methods floundered. But where his gut feeling was that there had to be a solution.

He is 60+ years old and he regards it is time to transfer his knowledge and experience to the younger generation. Romke has a doctorate in astronomy from the University of Groningen.

All Mathematica 11 events:
11 October 2016 Bayes in Action 10.00-17.00 Amsterdam subscribe
12 October 2016 Mathematica — Basic Principles I 10.00-17.00 Gent subscribe
13 October 2016 Mathematica — Basic Principles II — includes pattern matching 10.00-17.00 Gent subscribe
26 October 2016 Programming with Mathematica 10.00-17.00 Gent subscribe
27 October 2016 Interactivity in Mathematica
an advanced course for constructing more fine tuned interactive output
10.00-17.00 Gent subscribe
1 November 2016 Programming with Mathematica (free) 10.00-17.00 Amsterdam subscribe
8 November 2016 Interactivity in Mathematica
an advanced course for constructing more fine tuned interactive output (free)
10.00-17.00 Amsterdam subscribe
9 November 2016 Parallel Programming with Mathematica 10.00-17.00 Gent subscribe
10 November 2016 Mathematica Development using Wolfram Workbench 10.00-17.00 Gent subscribe
22 November 2016 Mathematica — Basic Principles I (free) 10.00-17.00 Amsterdam subscribe
23 November 2016 Mathematica — Basic Principles II — includes pattern matching (free) 10.00-17.00 Amsterdam subscribe
24 November 2016 Bayes in Action 10.00-17.00 Amsterdam subscribe
15 December 2016 Programming with Mathematica (free) 10.00-17.00 Amsterdam subscribe