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Representation Learning

Propositionalization and Embeddings

Nada Lavrač; Vid Podpečan; Marko Robnik-Šikonja

978-3-030-68817-2

2021
Edition 1
- Representation learning for cutting-edge machine learning – the benefit is a unifying approach to data fusion and transformation into compact tabular format used in standard learners and modern deep neural classifiers
- Coverage of tables, relations, texts, networks and ontologies – the benefit is a unified approach to handling heterogeneous data, enabling data scientists to step out of their isolated machine learning silos used in their routine practice
- Open science approach with hands-on examples – the benefit is the methodology and code reuse, as well as replicability with demo use cases
€280

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