Andersson jimmy (23 Ergebnisse)
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Paperback. Zustand: New. 1st ed. Work with large data sets, create statistical models, and make predictions with statistical methods using the Swift programming language. The variety of problems that can be solved using statistical methods range in fields from financial management to machine learning to quality control and much…more. Those who possess knowledge of statistical analysis become highly sought after candidates for companies worldwide. Starting with an introduction to statistics and probability theory, you will learn core concepts to analyze your data's distribution. You'll get an introduction to random variables, how to work with them, and how to leverage their properties in computations. On top of the mathematics, you'll learn several essential features of the Swift language that significantly reduce friction when working with large data sets. These functionalities will prove especially useful when working with multivariate data, which applies to most information in today's complex world. Once you know how to describe a data set, you will learn how to create models to make predictions about future events. All provided data is generated from real-world contexts so that you can develop an intuition for how to apply statistical methods with Swift to projects you're working on now. You will.Work with real-world data using the Swift programming language .Compute essential properties of data distributions to understand your customers, products, and processes .Make predictions about future events and compute how robust those predictions are.
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Zustand: New. 2021. 1st ed. Paperback. . . . . .
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Paperback. Zustand: New. 1st ed. Work with large data sets, create statistical models, and make predictions with statistical methods using the Swift programming language. The variety of problems that can be solved using statistical methods range in fields from financial management to machine learning to quality control and much…more. Those who possess knowledge of statistical analysis become highly sought after candidates for companies worldwide. Starting with an introduction to statistics and probability theory, you will learn core concepts to analyze your data's distribution. You'll get an introduction to random variables, how to work with them, and how to leverage their properties in computations. On top of the mathematics, you'll learn several essential features of the Swift language that significantly reduce friction when working with large data sets. These functionalities will prove especially useful when working with multivariate data, which applies to most information in today's complex world. Once you know how to describe a data set, you will learn how to create models to make predictions about future events. All provided data is generated from real-world contexts so that you can develop an intuition for how to apply statistical methods with Swift to projects you're working on now. You will.Work with real-world data using the Swift programming language .Compute essential properties of data distributions to understand your customers, products, and processes .Make predictions about future events and compute how robust those predictions are.
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Taschenbuch. Zustand: Neu. Statistical Analysis with Swift | Data Sets, Statistical Models, and Predictions on Apple Platforms | Jimmy Andersson | Taschenbuch | xiii | Englisch | 2021 | Apress | EAN 9781484277645 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin,… juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Hardcover. Zustand: Fine. First Edition. Hardback. Small 8vo. Original publishers illustrated laminated boards. Issued without dust jacket. From the collection of the great collector of autographs, signed books and signed photos Clive Bullimore. London based ex stockbroker who spent his retirement assiduously collecting autograp…hs. Signed by the following artists on their respective pages: John Landis (American film director, producer, screenwriter and actor - directed Michael Jackson's music videos for "Thriller" (1983); Benny Andersson (Swedish musician, composer and producer best known as a member of the pop group ABBA); Jimmy Osmond (American singer, youngest member of the sibling musical group the Osmonds); Robbie Williams (English singer and songwriter, member of the pop group Take That from 1990 to 1995); Nick Rhodes (English keyboardist and producer, best known as a founding member and the keyboardist of the band Duran Duran). ISBN: 1905828713 Pages: 93 Fine. Signedes.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Work with large data sets, create statistical models, and make predictions with statistical methods using the Swift programming language. The variety of problems that can be solved using statistical methods range in fields from financ…ial management to machine learning to quality control and much more. Those who possess knowledge of statistical analysis become highly sought after candidates for companies worldwide. Starting with an introduction to statistics and probability theory, you will learn core concepts to analyze your data's distribution. You'll get an introduction to random variables, how to work with them, and how to leverage their properties in computations. On top of the mathematics, you'll learn several essential features of the Swift language that significantly reduce friction when working with large data sets. These functionalities will prove especially useful when working with multivariate data, which applies to most information in today's complex world. Once you know how to describe a data set, you will learn how to create models to make predictions about future events. All provided data is generated from real-world contexts so that you can develop an intuition for how to apply statistical methods with Swift to projects you're working on now.You will:-Work with real-world data using the Swift programming language-Compute essential properties of data distributions to understand your customers, products, and processes-Make predictions about future events and compute how robust those predictions are 228 pp. Englisch.
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Kartoniert / Broschiert. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Work with large data sets, create statistical models, and make predictions with statistical methods using the Swift programming language.Work with large data sets, create statistical models, and… make predictions with statistical methods using the Swift .
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Work with large data sets, create statistical models, and make predictions with statistical methods using the Swift programming language. The variety of problems that can be solved using statistical methods range in fields from financial…management to machine learning to quality control and much more. Those who possess knowledge of statistical analysis become highly sought after candidates for companies worldwide.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 228 pp. Englisch.
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Work with large data sets, create statistical models, and make predictions with statistical methods using the Swift programming language. The variety of problems that can be solved using statistical methods range in fields from financial m…anagement to machine learning to quality control and much more. Those who possess knowledge of statistical analysis become highly sought after candidates for companies worldwide. Starting with an introduction to statistics and probability theory, you will learn core concepts to analyze your data's distribution. You'll get an introduction to random variables, how to work with them, and how to leverage their properties in computations. On top of the mathematics, you'll learn several essential features of the Swift language that significantly reduce friction when working with large data sets. These functionalities will prove especially useful when working with multivariate data, which applies to most information in today's complex world. Once you know how to describe a data set, you will learn how to create models to make predictions about future events. All provided data is generated from real-world contexts so that you can develop an intuition for how to apply statistical methods with Swift to projects you're working on now.You will:-Work with real-world data using the Swift programming language-Compute essential properties of data distributions to understand your customers, products, and processes-Make predictions about future events and compute how robust those predictions are.
