9783030930875 - data classification and incremental clustering in data mining and machine learning (eai/springer innovations in communication and computing) von chakraborty, sanjay; islam, sk hafizul; samanta, debabrata (4 Ergebnisse)
Sprache: Englisch
Verlag: Springer, 2022
Serie: EAI/Springer Innovations in Communication and Computing, Buch 115 von 129. Buch 115 von 129 - EAI/Springer Innovations in Communication and Computing
- Hardcover
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections
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EUR 117,13
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Zustand: New. In.
Sprache: Englisch
Verlag: Springer International Publishing, 2022
Serie: EAI/Springer Innovations in Communication and Computing, Buch 115 von 129. Buch 115 von 129 - EAI/Springer Innovations in Communication and Computing
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 117,69
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is a comprehensive, hands-on guide to the basics of data mining and machine learning with a special emphasis on supervised and unsupervised learning methods. The book lays stress on the new ways of thinking needed to master in machine learning bas…ed on the Python, R, and Java programming platforms. This book first provides an understanding of data mining, machine learning and their applications, giving special attention to classification and clustering techniques. The authors offer a discussion on data mining and machine learning techniques with case studies and examples. The book also describes the hands-on coding examples of some well-known supervised and unsupervised learning techniques using three different and popular coding platforms: R, Python, and Java. This book explains some of the most popular classification techniques (K-NN, Naïve Bayes, Decision tree, Random forest, Support vector machine etc,) along with the basic description of artificial neural network and deep neural network. The book is useful for professionals, students studying data mining and machine learning, and researchers in supervised and unsupervised learning techniques.
Sprache: Englisch
Verlag: Springer, 2022
Serie: EAI/Springer Innovations in Communication and Computing, Buch 115 von 129. Buch 115 von 129 - EAI/Springer Innovations in Communication and Computing
- Hardcover
Anbieter: Buchpark, Trebbin, DeutschlandBuchpark
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EUR 88,29
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Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book is a comprehensive, hands-on guide to the basics of data mining and machine learning with a special emphasis on supervised and unsupervised learning methods. The book lays stress on the new ways of thinking needed to master in machi…ne learning based on the Python, R, and Java programming platforms. This book first provides an understanding of data mining, machine learning and their applications, giving special attention to classification and clustering techniques. The authors offer a discussion on data mining and machine learning techniques with case studies and examples. The book also describes the hands-on coding examples of some well-known supervised and unsupervised learning techniques using three different and popular coding platforms: R, Python, and Java. This book explains some of the most popular classification techniques (K-NN, Naïve Bayes, Decision tree, Random forest, Support vector machine etc,) along with the basic description of artificial neural network and deep neural network. The book is useful for professionals, students studying data mining and machine learning, and researchers in supervised and unsupervised learning techniques.
Data Classification and Incremental Clustering in Data Mining and Machine Learning Debabrata Samanta
Sprache: Englisch
Verlag: Springer, 2022
Serie: EAI/Springer Innovations in Communication and Computing, Buch 115 von 129. Buch 115 von 129 - EAI/Springer Innovations in Communication and Computing
- Hardcover
Anbieter: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, DeutschlandBUCHSERVICE / ANTIQUARIAT Lars Lutzer
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Hardcover. Zustand: gut. 2022. Data Classification and Incremental Clustering in Data Mining and Machine Learning In deutscher Sprache. pages.
