• Introduction to Machine Learni...

Treffer: Introduction to Machine Learning in Python

Title:
Introduction to Machine Learning in Python
Authors:
Galdi, Paola, orcid:0000-0003-4556-
Publisher Information:
Zenodo
Publication Year:
2023
Collection:
Zenodo
Subject Terms:
ECR Lunchtime, machine learning, python, supervised learning, unsupervised learning, scikit-learn
Document Type:
Fachzeitschrift text
Language:
English
Relation:
https://zenodo.org/communities/ai-mltc-m/; https://zenodo.org/records/7900765; oai:zenodo.org:7900765; https://doi.org/10.5281/zenodo.7900765
DOI:
10.5281/zenodo.7900765
Availability:
https://doi.org/10.5281/zenodo.7900765
https://zenodo.org/records/7900765
Rights:
Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
Accession Number:
edsbas.B1632ADF
Database:
BASE

Weitere Informationen

Slides presented by Dr Paola Galdi (University of Edinburgh) at the AIM RSF Early Career Researcher Lunchtime session on 4 May 2023. The HTML slides were created from a Jupyter notebook; both are provided. The slides provide an introduction to fundamental concepts in machine learning and examples of setting up simple machine learning models using the scikit-learn library in Python. This seminar was organised by the AI for Multiple Long Term Conditions Research Support Facility (link to the same archived website). AIM RSF is funded by the NIHR Artificial Intelligence for Multiple Long-Term Conditions (AIM) programme (NIHR202647).