Transactions on computer systems and networks - 9789819903528 - multivariate analysis and machine learning techniques: feature analysis in data science using python di sundararajan, srikrishnan (7 risultati)

Lingua: Inglese
Editore: Springer, 2025
Serie: Libro 14 di 16 - Transactions on Computer Systems and Networks
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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EUR 128,26
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Condizione: New. 1st ed. 2024 edition NO-PA16APR2015-KAP.

Lingua: Inglese
Editore: Springer, 2025
Serie: Libro 14 di 16 - Transactions on Computer Systems and Networks
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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 offers a comprehensive first-level introduction to data analytics. The book covers multivariate analysis, AI / ML, and other computational techniques for solving data analytics problems using Python. The topics covered include (a) a working int…roduction to programming with Python for data analytics, (b) an overview of statistical techniques - probability and statistics, hypothesis testing, correlation and regression, factor analysis, classification (logistic regression, linear discriminant analysis, decision tree, support vector machines, and other methods), various clustering techniques, and survival analysis, (c) introduction to general computational techniques such as market basket analysis, and social network analysis, and (d) machine learning and deep learning.Many academic textbooks are available for teaching statistical applications using R, SAS, and SPSS. However, there is a dearth of textbooks that provide a comprehensiveintroduction to the emerging and powerful Python ecosystem, which is pervasive in data science and machine learning applications. The book offers a judicious mix of theory and practice, reinforced by over 100 tutorials coded in the Python programming language. The book provides worked-out examples that conceptualize real-world problems using data curated from public domain datasets. It is designed to benefit any data science aspirant, who has a basic (higher secondary school level) understanding of programming and statistics. The book may be used by analytics students for courses on statistics, multivariate analysis, machine learning, deep learning, data mining, and business analytics. It can be also used as a reference book by data analytics professionals.

Lingua: Inglese
Editore: Springer, Springer Mai 2025, 2025
Serie: Libro 14 di 16 - Transactions on Computer Systems and Networks
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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 offers a comprehensive first-level introduction to data analytics. The book covers multivariate analysis, AI / ML, and other computational techniques for solving data analytics problems using Python. The topics covered include (…a) a working introduction to programming with Python for data analytics, (b) an overview of statistical techniques - probability and statistics, hypothesis testing, correlation and regression, factor analysis, classification (logistic regression, linear discriminant analysis, decision tree, support vector machines, and other methods), various clustering techniques, and survival analysis, (c) introduction to general computational techniques such as market basket analysis, and social network analysis, and (d) machine learning and deep learning.Many academic textbooks are available for teaching statistical applications using R, SAS, and SPSS. However, there is a dearth of textbooks that provide a comprehensiveintroduction to the emerging and powerful Python ecosystem, which is pervasive in data science and machine learning applications. The book offers a judicious mix of theory and practice, reinforced by over 100 tutorials coded in the Python programming language. The book provides worked-out examples that conceptualize real-world problems using data curated from public domain datasets. It is designed to benefit any data science aspirant, who has a basic (higher secondary school level) understanding of programming and statistics. The book may be used by analytics students for courses on statistics, multivariate analysis, machine learning, deep learning, data mining, and business analytics. It can be also used as a reference book by data analytics professionals. 464 pp. Englisch.

Lingua: Inglese
Editore: Springer Nature Singapore, 2024
Serie: Libro 14 di 16 - Transactions on Computer Systems and Networks
- Rilegato
- Print on Demand
Da: moluna, Greven, Germaniamoluna
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EUR 77,17
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Covers multivariate analysis and computational techniques for data analytics using PythonProvides a step-by-step practical approach to learning using 100 tutorials and 50 worked-out exercisesIs useful for programmers…, statisticians, and pra.

Lingua: Inglese
Editore: Springer, 2025
Serie: Libro 14 di 16 - Transactions on Computer Systems and Networks
- Rilegato
- Print on Demand
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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EUR 128,91
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Condizione: New. Print on Demand.

Lingua: Inglese
Editore: Springer, 2025
Serie: Libro 14 di 16 - Transactions on Computer Systems and Networks
- Rilegato
- Print on Demand
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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EUR 130,69
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Condizione: New. PRINT ON DEMAND.

Lingua: Inglese
Editore: Springer, Springer Mai 2025, 2025
Serie: Libro 14 di 16 - Transactions on Computer Systems and Networks
- Rilegato
- Print on Demand
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 90,94
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book offers a comprehensive first-level introduction to data analytics. The book covers multivariate analysis, AI / ML, and other computational techniques for solving data analytics problems using Python. The topics covered include (a) a… working introduction to programming with Python for data analytics, (b) an overview of statistical techniques - probability and statistics, hypothesis testing, correlation and regression, factor analysis, classification (logistic regression, linear discriminant analysis, decision tree, support vector machines, and other methods), various clustering techniques, and survival analysis, (c) introduction to general computational techniques such as market basket analysis, and social network analysis, and (d) machine learning and deep learning.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 464 pp. Englisch.