Work

Basics of Machine Learning

Year: 2025

Type: book-chapter

Abstract: This chapter presents a historical brief of artificial intelligence and machine learning as well as an overview of conceptual basics of how ML works, alongside examples. Different approaches to ML are reviewed and the challenges of applying ML in research are addressed.

Source: Springer texts in education

DOI: 10.1007/978-3-031-74227-9_2

Authors: Peter Wulff, Marcus Kubsch, Christina Krist

Institutions: Heidelberg University of Education, Freie Universität Berlin, Stanford University

Language: English

Topic: Artificial Intelligence Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: hybrid

OpenAlex ID: W4408032594