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Statistical Analysis with Swift: Data Sets, Statistical Models, and Predictions on Apple Platforms - Couverture souple
Synopsis
Chapter 1: Swift Primer
- Introduction to Swift and its pros when working with large data sets
- Provided data sets and how to load them using the Decodable protocol- Higher-Order Functions (map, filter, reduce, apply)
Chapter 2: Introduction to Probability and Random Variables
- What is a random variable?
- Sample spaces
- Laws and axioms of probability
- Variable Independence
- Conditional probability
Chapter 3: Distributions and Random Numbers
- Mass and density functions
- Discrete distributions
- Discrete uniform distribution
- Bernoulli trials
- Binomial distribution- Poisson distribution
- Continuous distributions
- Continuous uniform distribution
- Exponential distribution
- Normal distribution
- Implement a random number generator that samples from a given distribution
Chapter 4: Predicting House Sale Prices with Linear Regression
- Central tendency measures
- Variance measures- Association measures
- Stratification of data
- Linear regression
Chapter 5: Hypothesis Testing
- T Testing- Null and Alternative Hypotheses
- P-value
- Determining sample sizes
Chapter 6: Data Compression Using Statistical Methods
- Measurement scales
- Calculate the distribution of example data
- Compute a Huffman Tree
- Encode the original data in a smaller package
- &nbLes informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Jimmy M Andersson is a software engineer in the automotive industry, specializing in acquiring and visualizing real-time data collected from cars. He is also a graduate student at Chalmers University of Technology, currently working towards a master's degree in data science and artificial intelligence. Outside of work and studies, Jimmy writes software development articles focusing on the Swift programming language. He also develops the StatKit library - a collection of statistical analysis tools for Swift developers. StatKit is open-source and available for anyone who wants to incorporate statistical methods into their programs.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Statistical Analysis with Swift
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APress, US, 2021
ISBN 10 : 1484277643
ISBN 13 : 9781484277645
Neuf
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Vendeur : Rarewaves.com UK, London, Royaume-Uni
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Paperback. Etat : 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. N° de réf. du vendeur LU-9781484277645
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Statistical Analysis with Swift: Data Sets, Statistical Models, and Predictions on Apple Platforms
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Statistical Analysis with Swift
Edité par
APress, US, 2021
ISBN 10 : 1484277643
ISBN 13 : 9781484277645
Neuf
Paperback
Edition originale
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : 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. N° de réf. du vendeur LU-9781484277645
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Statistical Analysis with Swift
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Etat : New. 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 . N° de réf. du vendeur 501191694
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Statistical Analysis With Swift : Data Sets, Statistical Models, and Predictions on Apple Platforms
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Statistical Analysis With Swift : Data Sets, Statistical Models, and Predictions on Apple Platforms
Edité par
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ISBN 13 : 9781484277645
Ancien ou d'occasion
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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