Scientific topics: Toxicology or Machine learning
Materials created at the Machine Learning and BioStatistics hackathon organised by ELIXIR-GR (CERTH) in October and November 2020.
Scientific topics: Computer science, Statistics and probability, Machine learning
Keywords: machine learning, biostatistics, eLearning, EeLP
Resource type: Training materials
This record includes training materials associated with the Australian BioCommons webinar ‘Getting started with deep learning’. This webinar took place on 21 July 2021.
Are you wondering what deep learning is and how it might be useful in your research? This high level overview introduces...
Scientific topics: Machine learning
Keywords: Deep learning
Workshop of 1.5h where the eNanoMapper ontology and a few uses are discussed. The exercises walk the audience trough the principles, uses, and demonstrates how they can actively work with the ontology.
Scientific topics: Ontology and terminology, Toxicology
Resource type: Tutorial
This tutorial describes how nanomaterial data can be added to an eNanoMapper server using a RDF format.
Scientific topics: Database management, Toxicology
Keywords: nanotoxicology, enanomapper, resource description framework, ontology
Resource type: Tutorial
This course part focuses on a recent machine learning method known as deep learning that emerged as a promising disruptive approach, allowing knowledge discovery from large datasets in an unprecedented effectiveness and efficiency. It is particularly relevant in research areas, which are not...
Scientific topics: Machine learning
Resource type: Video
This course offers basics of analysing datasets with machine learning algorithms and data mining techniques in order to understand foundations of learning from large quantities of data.
It starts with general methods for data analysis in order to understand clustering, classification, and...
Scientific topics: Machine learning
Resource type: Video