The qualification within ICAML is envisioned to be as diverse as the various disciplines we want to connect. Many of our core qualification modules will be available in different formats: in extended formats for beginners or very concise (TL;DR) presentation.
Programming Languages and Frameworks for Data Science
This course provides an overview of common programming languages and frameworks for data science.
Python for Machine Learning
This qualification line covers basic and advanced programming skills in Python starting from zero.
Machine Learning Overview
This qualification line introduces you to most of the basic machine learning models and algorithms.
This qualification line guides you through basic to advanced topics on the way to machine learning for image analysis.
3D Point Clouds
This qualification line introduces you to the needed basic handling of large 3D point clouds.
Neural Style Transfer
This qualification line introduces you to the needed concepts of basic style transfer with neural networks.
For now, we are working towards the completion of the first presentations of the first modules from the following canon. . The qualification is first organized into three levels: Basics, Algorithms, and Case Studies. It is expected that people can select their modules of interest taking only into account that they are getting more and more advanced from covering Basics with toy examples towards discussing algorithms in the context of real-world datasets.