Domain specific Data Mining Courses or Workshops

This tutorial consists of the courses and workshops about ML/AI for the users who have some AI background (ML disciplines):

  • Science & Engineering

    • Biomedical Sciences

    The Nordic e-Infrastructure Collaboration (NeIC) May, 2024

    Machine Learning tools for genomics data analysis

    Abstract: There are a lot of potential uses for Ai in biomedical sciences. The field of bioinformatics, which deals with the analysis of biomedical data, is still catching up with the skill set needed to effectively use ML/Ai in the workflows. In this tutorial, we will demystify some basic machine learning concepts needed to get started with and then show some examples where these concepts are already being applied. Then we will move on to get some hands-on experience with a selected tool to get some experience and to motivate you to learn and explore the possibilities to use ML/ML in your work.

    Prerequisites: Basic understanding in concepts like sequence assembly, variants and protein folding. Familiar with Python language would be an advantage, but we will provide copy-paste examples just in case..

    Oslo Bioinformatics Workshop Week December, 2023

    Introduction to machine learning applications in genomic analysis

    Abstract: Our short course, is specifically designed to provide an overview of the key machine learning concepts and their use cases in genomic analysis. The course begins with an introduction to the main concepts of machine learning technologies, including supervised learning, unsupervised learning, and reinforcement learning, providing participants with a basic understanding of how these technologies work. Next, the course will introduce various genomic analysis methods that can potentially benefit from machine learning technologies.

    Audience: Biologists interested in machine learning applications in genomics.

    Learning outcomes

    • Gain a basic understanding of machine learning methods and their applications in genomic analysis.

    • Understand the current challenges and risks of using machine-learning-based tools in genomic analysis.

    • Natural Language Processing

    NLP Data

    Introduction to machine learning applications in NLP

    Abstract: Our short course, …

    Audience:

    Learning outcomes - Gain a basic understanding of machine learning methods and their applications in NLP tasks.

    • Medical data processing

    • Data in Education

    • Data in Gaming and Sports

    • Data in Robotics

  • Spatial Data Mining

  • Temporal Data Mining