9783030930875 - data classification and incremental clustering in data mining and machine learning di chakraborty, sanjay; islam, sk hafizul; samanta, debabrata (11 risultati)

Lingua: Inglese
Editore: Springer 2022
Serie: EAI/Springer Innovations in Communication and Computing, Libro 115 di 129. Libro 115 di 129 - EAI/Springer Innovations in Communication and Computing
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Condizione: New. In.

Lingua: Inglese
Editore: Springer 2022
Serie: EAI/Springer Innovations in Communication and Computing, Libro 115 di 129. Libro 115 di 129 - EAI/Springer Innovations in Communication and Computing
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.

Lingua: Inglese
Editore: Springer International Publishing 2022
Serie: EAI/Springer Innovations in Communication and Computing, Libro 115 di 129. Libro 115 di 129 - EAI/Springer Innovations in Communication and Computing
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: 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…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.

Lingua: Inglese
Editore: Springer 2022
Serie: EAI/Springer Innovations in Communication and Computing, Libro 115 di 129. Libro 115 di 129 - EAI/Springer Innovations in Communication and Computing
- Rilegato
Da: Buchpark, Trebbin, GermaniaBuchpark
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Condizione: 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 ma…chine 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
Lingua: Inglese
Editore: Springer 2022
Serie: EAI/Springer Innovations in Communication and Computing, Libro 115 di 129. Libro 115 di 129 - EAI/Springer Innovations in Communication and Computing
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Da: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, GermaniaBUCHSERVICE / ANTIQUARIAT Lars Lutzer
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Hardcover. Condizione: gut. 2022. Data Classification and Incremental Clustering in Data Mining and Machine Learning In deutscher Sprache. pages.

Lingua: Inglese
Editore: Springer 2022
Serie: EAI/Springer Innovations in Communication and Computing, Libro 115 di 129. Libro 115 di 129 - EAI/Springer Innovations in Communication and Computing
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- Print on Demand
Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.

Lingua: Inglese
Editore: Springer International Publishing Mai 2022 2022
Serie: EAI/Springer Innovations in Communication and Computing, Libro 115 di 129. Libro 115 di 129 - EAI/Springer Innovations in Communication and Computing
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- Print on Demand
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 m…achine 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. 220 pp. Englisch.

Lingua: Inglese
Editore: Springer International Publishing 2022
Serie: EAI/Springer Innovations in Communication and Computing, Libro 115 di 129. Libro 115 di 129 - EAI/Springer Innovations in Communication and Computing
- Rilegato
- Print on Demand
Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a comprehensive review of various data mining techniques and architecturePresents hands-on coding examples using three and popular coding platforms: R, Python, and JavaIncludes case-studies, examples, practi…ce problems, questions, .

Lingua: Inglese
Editore: Springer 2022
Serie: EAI/Springer Innovations in Communication and Computing, Libro 115 di 129. Libro 115 di 129 - EAI/Springer Innovations in Communication and Computing
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- Print on Demand
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Condizione: New. Print on Demand.

Lingua: Inglese
Editore: Springer 2022
Serie: EAI/Springer Innovations in Communication and Computing, Libro 115 di 129. Libro 115 di 129 - EAI/Springer Innovations in Communication and Computing
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- Print on Demand
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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EUR 165,38
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Condizione: New. PRINT ON DEMAND.

Lingua: Inglese
Editore: Springer, Springer Mai 2022 2022
Serie: EAI/Springer Innovations in Communication and Computing, Libro 115 di 129. Libro 115 di 129 - EAI/Springer Innovations in Communication and Computing
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- Print on Demand
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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EUR 117,69
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 220 pp. Englisch.