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Become familiar with statistical and traditional machine learning approaches to anomaly detection using Scikit-Learn
Know the basics of deep learning in Python using Keras and PyTorch
Be aware of basic data science concepts for measuring a model's performance: understand what AUC is, what precision and recall mean, and more
Apply deep learning to semi-supervised and unsupervised anomaly detection
Become familiar with statistical and traditional machine learning approaches to anomaly detection using Scikit-Learn
Know the basics of deep learning in Python using Keras and PyTorch
Be aware of basic data science concepts for measuring a model's performance: understand what AUC is, what precision and recall mean, and more
Apply deep learning to semi-supervised and unsupervised anomaly detection
Explains some of the most effective and efficient anomaly detection methods available
Provides annotated Python code snippets and notebooks
Covers the most contemporary approaches to anomaly detection
Uses two popular deep learning frameworks-Keras and PyTorch
Erscheinungsjahr: | 2019 |
---|---|
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Seiten: | 416 |
ISBN-13: | 9781484251768 |
ISBN-10: | 1484251768 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: |
Alla, Sridhar
Adari, Suman Kalyan |
Hersteller: | APRESS |
Maße: | 254 x 178 x 24 mm |
Von/Mit: | Sridhar Alla (u. a.) |
Erscheinungsdatum: | 11.10.2019 |
Gewicht: | 0,808 kg |
Explains some of the most effective and efficient anomaly detection methods available
Provides annotated Python code snippets and notebooks
Covers the most contemporary approaches to anomaly detection
Uses two popular deep learning frameworks-Keras and PyTorch
Erscheinungsjahr: | 2019 |
---|---|
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Seiten: | 416 |
ISBN-13: | 9781484251768 |
ISBN-10: | 1484251768 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: |
Alla, Sridhar
Adari, Suman Kalyan |
Hersteller: | APRESS |
Maße: | 254 x 178 x 24 mm |
Von/Mit: | Sridhar Alla (u. a.) |
Erscheinungsdatum: | 11.10.2019 |
Gewicht: | 0,808 kg |