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Cover: 9781107422223 | Machine Learning | Peter Flach | Taschenbuch | Paperback | Englisch
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Machine Learning
Taschenbuch von Peter Flach
Sprache: Englisch

67,40 €*

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Beschreibung
An introductory textbook covering all the main approaches in state-of-the-art machine learning research.
An introductory textbook covering all the main approaches in state-of-the-art machine learning research.
Über den Autor
Peter Flach has more than twenty years of experience in machine learning teaching and research. He is Editor-in-Chief of Machine Learning and Program Co-Chair of the 2009 ACM Conference on Knowledge Discovery and Data Mining and the [...]opean Conference on Machine Learning and Data Mining. His research spans all aspects of machine learning, from knowledge representation and the use of logic to learn from highly structured data to the analysis and evaluation of machine learning models and methods to large-scale data mining. He is particularly known for his innovative use of Receiver Operating Characteristic (ROC) analysis for understanding and improving machine learning methods. These innovations have proved their effectiveness in a number of invited talks and tutorials and now form the backbone of this book.
Inhaltsverzeichnis
Prologue: a machine learning sampler; 1. The ingredients of machine learning; 2. Binary classification and related tasks; 3. Beyond binary classification; 4. Concept learning; 5. Tree models; 6. Rule models; 7. Linear models; 8. Distance-based models; 9. Probabilistic models; 10. Features; 11. In brief: model ensembles; 12. In brief: machine learning experiments; Epilogue: where to go from here; Important points to remember; Bibliography; Index.
Details
Erscheinungsjahr: 2019
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 416
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781107422223
ISBN-10: 1107422221
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Flach, Peter
Hersteller: Cambridge University Press
Maße: 246 x 189 x 23 mm
Von/Mit: Peter Flach
Erscheinungsdatum: 19.02.2019
Gewicht: 0,801 kg
preigu-id: 106408740
Über den Autor
Peter Flach has more than twenty years of experience in machine learning teaching and research. He is Editor-in-Chief of Machine Learning and Program Co-Chair of the 2009 ACM Conference on Knowledge Discovery and Data Mining and the [...]opean Conference on Machine Learning and Data Mining. His research spans all aspects of machine learning, from knowledge representation and the use of logic to learn from highly structured data to the analysis and evaluation of machine learning models and methods to large-scale data mining. He is particularly known for his innovative use of Receiver Operating Characteristic (ROC) analysis for understanding and improving machine learning methods. These innovations have proved their effectiveness in a number of invited talks and tutorials and now form the backbone of this book.
Inhaltsverzeichnis
Prologue: a machine learning sampler; 1. The ingredients of machine learning; 2. Binary classification and related tasks; 3. Beyond binary classification; 4. Concept learning; 5. Tree models; 6. Rule models; 7. Linear models; 8. Distance-based models; 9. Probabilistic models; 10. Features; 11. In brief: model ensembles; 12. In brief: machine learning experiments; Epilogue: where to go from here; Important points to remember; Bibliography; Index.
Details
Erscheinungsjahr: 2019
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 416
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781107422223
ISBN-10: 1107422221
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Flach, Peter
Hersteller: Cambridge University Press
Maße: 246 x 189 x 23 mm
Von/Mit: Peter Flach
Erscheinungsdatum: 19.02.2019
Gewicht: 0,801 kg
preigu-id: 106408740
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