Fischetti tony (29 Ergebnisse)

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paperback. Zustand: Very Good. Data Analysis with R: Load, wrangle, and analyze your data using the world's most powerful statistical programming language This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .…

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Digital. Zustand: New. Learn, by example, the fundamentals of data analysis as well as several intermediate to advanced methods and techniques ranging from classification and regression to Bayesian methods and MCMC, which can be put to immediate use.About This Book. Analyze your data using R - the most powerful statistical programming language. Learn how to implement applied statistics using practical use-cases. Use popular R packages to work with unstructured and structured dataWho This Book Is ForBudding data scientists and data analysts who are new to the concept of data analysis, or who want to build efficient analytical models in R will find this book to be useful. No prior exposure to data analysis is needed, although a fundamental understanding of the R programming language is required to get the best out of this book.What You Will Learn. Gain a thorough understanding of statistical reasoning and sampling theory. Employ hypothesis testing to draw inferences from your data. Learn Bayesian methods for estimating parameters. Train regression, classification, and time series models. Handle missing data gracefully using multiple imputation. Identify and manage problematic data points. Learn how to scale your analyses to larger data with Rcpp, data.table, dplyr, and parallelization. Put best practices into effect to make your job easier and facilitate reproducibilityIn DetailFrequently the tool of choice for academics, R has spread deep into the private sector and can be found in the production pipelines at some of the most advanced and successful enterprises. The power and domain-specificity of R allows the user to express complex analytics easily, quickly, and succinctly.Starting with the basics of R and statistical reasoning, this book dives into advanced predictive analytics, showing how to apply those techniques to real-world data though with real-world examples.Packed with engaging problems and exercises, this book begins with a review of R and its syntax with packages like Rcpp, ggplot2, and dplyr. From there, get to grips with the fundamentals of applied statistics and build on this knowledge to perform sophisticated and powerful analytics. Solve the difficulties relating to performing data analysis in practice and find solutions to working with messy data, large data, communicating results, and facilitating reproducibility.This book is engineered to be an invaluable resource through many stages of anyone's career as a data analyst.Style and approachAn easy-to-follow step by step guide which will help you get to grips with real world application of Data Analysis with R.…

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Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Digital. Zustand: New. Load, wrangle, and analyze your data using the world's most powerful statistical programming languageAbout This Book. Load, manipulate and analyze data from different sources. Gain a deeper understanding of fundamentals of applied statistics. A practical guide to performing data analysis in practiceWho This Book Is ForWhether you are learning data analysis for the first time, or you want to deepen the understanding you already have, this book will prove to an invaluable resource. If you are looking for a book to bring you all the way through the fundamentals to the application of advanced and effective analytics methodologies, and have some prior programming experience and a mathematical background, then this is for you.What You Will Learn. Navigate the R environment. Describe and visualize the behavior of data and relationships between data. Gain a thorough understanding of statistical reasoning and sampling. Employ hypothesis tests to draw inferences from your data. Learn Bayesian methods for estimating parameters. Perform regression to predict continuous variables. Apply powerful classification methods to predict categorical data. Handle missing data gracefully using multiple imputation. Identify and manage problematic data points. Employ parallelization and Rcpp to scale your analyses to larger data. Put best practices into effect to make your job easier and facilitate reproducibilityIn DetailFrequently the tool of choice for academics, R has spread deep into the private sector and can be found in the production pipelines at some of the most advanced and successful enterprises. The power and domain-specificity of R allows the user to express complex analytics easily, quickly, and succinctly. With over 7,000 user contributed packages, it's easy to find support for the latest and greatest algorithms and techniques.Starting with the basics of R and statistical reasoning, Data Analysis with R dives into advanced predictive analytics, showing how to apply those techniques to real-world data though with real-world examples.Packed with engaging problems and exercises, this book begins with a review of R and its syntax. From there, get to grips with the fundamentals of applied statistics and build on this knowledge to perform sophisticated and powerful analytics. Solve the difficulties relating to performing data analysis in practice and find solutions to working with "messy data", large data, communicating results, and facilitating reproducibility.This book is engineered to be an invaluable resource through many stages of anyone's career as a data analyst.Style and approachLearn data analysis using engaging examples and fun exercises, and with a gentle and friendly but comprehensive "learn-by-doing" approach.…

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Zustand: As New. Unread book in perfect condition.

Zustand: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.…

Couverture souple. Zustand: Neuf. 2ème Édition.

Digital. Zustand: New. Learn, by example, the fundamentals of data analysis as well as several intermediate to advanced methods and techniques ranging from classification and regression to Bayesian methods and MCMC, which can be put to immediate use.About This Book. Analyze your data using R - the most powerful statistical programming language. Learn how to implement applied statistics using practical use-cases. Use popular R packages to work with unstructured and structured dataWho This Book Is ForBudding data scientists and data analysts who are new to the concept of data analysis, or who want to build efficient analytical models in R will find this book to be useful. No prior exposure to data analysis is needed, although a fundamental understanding of the R programming language is required to get the best out of this book.What You Will Learn. Gain a thorough understanding of statistical reasoning and sampling theory. Employ hypothesis testing to draw inferences from your data. Learn Bayesian methods for estimating parameters. Train regression, classification, and time series models. Handle missing data gracefully using multiple imputation. Identify and manage problematic data points. Learn how to scale your analyses to larger data with Rcpp, data.table, dplyr, and parallelization. Put best practices into effect to make your job easier and facilitate reproducibilityIn DetailFrequently the tool of choice for academics, R has spread deep into the private sector and can be found in the production pipelines at some of the most advanced and successful enterprises. The power and domain-specificity of R allows the user to express complex analytics easily, quickly, and succinctly.Starting with the basics of R and statistical reasoning, this book dives into advanced predictive analytics, showing how to apply those techniques to real-world data though with real-world examples.Packed with engaging problems and exercises, this book begins with a review of R and its syntax with packages like Rcpp, ggplot2, and dplyr. From there, get to grips with the fundamentals of applied statistics and build on this knowledge to perform sophisticated and powerful analytics. Solve the difficulties relating to performing data analysis in practice and find solutions to working with messy data, large data, communicating results, and facilitating reproducibility.This book is engineered to be an invaluable resource through many stages of anyone's career as a data analyst.Style and approachAn easy-to-follow step by step guide which will help you get to grips with real world application of Data Analysis with R.…

Digital. Zustand: New. Load, wrangle, and analyze your data using the world's most powerful statistical programming languageAbout This Book. Load, manipulate and analyze data from different sources. Gain a deeper understanding of fundamentals of applied statistics. A practical guide to performing data analysis in practiceWho This Book Is ForWhether you are learning data analysis for the first time, or you want to deepen the understanding you already have, this book will prove to an invaluable resource. If you are looking for a book to bring you all the way through the fundamentals to the application of advanced and effective analytics methodologies, and have some prior programming experience and a mathematical background, then this is for you.What You Will Learn. Navigate the R environment. Describe and visualize the behavior of data and relationships between data. Gain a thorough understanding of statistical reasoning and sampling. Employ hypothesis tests to draw inferences from your data. Learn Bayesian methods for estimating parameters. Perform regression to predict continuous variables. Apply powerful classification methods to predict categorical data. Handle missing data gracefully using multiple imputation. Identify and manage problematic data points. Employ parallelization and Rcpp to scale your analyses to larger data. Put best practices into effect to make your job easier and facilitate reproducibilityIn DetailFrequently the tool of choice for academics, R has spread deep into the private sector and can be found in the production pipelines at some of the most advanced and successful enterprises. The power and domain-specificity of R allows the user to express complex analytics easily, quickly, and succinctly. With over 7,000 user contributed packages, it's easy to find support for the latest and greatest algorithms and techniques.Starting with the basics of R and statistical reasoning, Data Analysis with R dives into advanced predictive analytics, showing how to apply those techniques to real-world data though with real-world examples.Packed with engaging problems and exercises, this book begins with a review of R and its syntax. From there, get to grips with the fundamentals of applied statistics and build on this knowledge to perform sophisticated and powerful analytics. Solve the difficulties relating to performing data analysis in practice and find solutions to working with "messy data", large data, communicating results, and facilitating reproducibility.This book is engineered to be an invaluable resource through many stages of anyone's career as a data analyst.Style and approachLearn data analysis using engaging examples and fun exercises, and with a gentle and friendly but comprehensive "learn-by-doing" approach.…

Paperback / softback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Paperback / softback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. &Uumlber den AutorrnrnTony Fischetti is a data scientist at College Factual, where he gets to use R everyday to build personalized rankings and recommender systems. He graduated in cognitive science from Rensselaer Polytechnic Institute, and hi.…

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Load, wrangle, and analyze your data using the world's most powerful statistical programming language Key Features Book Description Frequently the tool of choice for academics, R has spread deep into the private sector and can be found in the production pipelines at some of the most advanced and successful enterprises. The power and domain-specificity of R allows the user to express complex analytics easily, quickly, and succinctly. With over 7,000 user contributed packages, it's easy to find support for the latest and greatest algorithms and techniques. Starting with the basics of R and statistical reasoning, Data Analysis with R dives into advanced predictive analytics, showing how to apply those techniques to real-world data though with real-world examples. Packed with engaging problems and exercises, this book begins with a review of R and its syntax. From there, get to grips with the fundamentals of applied statistics and build on this knowledge to perform sophisticated and powerful analytics. Solve the difficulties relating to performing data analysis in practice and find solutions to working with 'messy data', large data, communicating results, and facilitating reproducibility. This book is engineered to be an invaluable resource through many stages of anyone's career as a data analyst. What you will learn Who this book is for Whether you are learning data analysis for the first time, or you want to deepen the understanding you already have, this book will prove to an invaluable resource. If you are looking for a book to bring you all the way through the fundamentals to the application of advanced and effective analytics methodologies, and have some prior programming experience and a mathematical background, then this is for you.…