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Introduction to Machine Learning

Year: 2025

Type: article

Abstract: In this slide deck we present an introduction to machine learning, focusing on methods for data analysis. We dive into unsupervised machine learning for dimensionality reduction and clustering. We will see how random forest classifiers work and learn about neural network architectures. Last but not least we study approached to model validation and active learning.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15341823

Authors: Haase, Robert, Joas, Maximilian Josef

Institutions: Center for Scalable Data Analytics and Artificial Intelligence, Leipzig University

Language: English

Topic: Machine Learning and Algorithms

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6967767609

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