Modern Data Science with R, Hardback - Nicholas J. Horton

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DescriptionThis invaluable addition to any data scientist's library shows you how to apply the R programming language and useful statistical techni...

This accessible but rigorous introduction is written for advanced undergraduates and beginning graduate students in data science, as well as resear...

"The book begins by going over the basics of R and the tidyverse. You learn R throughout the book, but in the first part we go over the building bl...

This book focuses on tools and techniques for building valid regression models using real-world data. A key theme throughout the book is that it on...

Description"One of the few books that provide an accessible introduction to quantitative data analysis with R. A particular strength of the text is...

This book provides the intuition and basic vocabulary as steps towards the financial, statistical, and algorithmic knowledge needed to resolve curr...

Reducere. The past decades have transformed the world of statistical data analysis, with new methods, new types of data, and new computational tools. The aim...

Publisher: Princeton University PressAuthor(s): Nicholas J. GotelliIllustration(s): 95 b/w illus. 24 tables.Number of pages: 336Collection: Monogra...

This book is designed to make spatio-temporal modeling and analysis understandable to students and researchers, mathematicians and statisticians an...

DescriptionThis title presents a totally integrated theory of organic photochemistry, including the first visualization of the role of electron spi...

The book is designed to be very accessible, with a focus on methods, examples, and computing, and theoretical details kept to an absolute minimum. ...

This book focuses on the application of statistical analyses in the environmental, agricultural, and natural resources disciplines.Publisher: Taylo...

This unique archaeological account from Nicholas Saunders tells the story of the origins of modern guerrilla warfare during the Arab Revolt of 1916...

Publisher: Taylor & Francis LtdAuthor(s): Babette A. BrumbackIllustration(s): 32 Line drawings, black and white; 41 Tables, black and white; 32 Ill...

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Reducere. For introductory-level Python programming and/or data-science courses. A groundbreaking, flexible approach to computer science and data science The...

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Data Science for Business with R focuses on the concepts foundational for students starting a business analytics or data science course. The book f...

Using every-day examples and numerous exercises, this text covers the basics of linear models with a minimum of mathematics. The emphasis is on iss...

Publisher: John Wiley and Sons LtdAuthor(s): T KwartlerNumber of pages: 272Publication date: 2022Dimensions: 175 x 251 x 22Cover type: HardbackRede...

Large datasets tend to be distributed, non-uniform, and prone to change. Dask simplifies the process of ingesting, filtering, and transforming data...

DescriptionThis unique book addresses the statistical modelling and analysis of microbiome data using cutting-edge R software. It includes real-wor...

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Gain insight into essential data science skills in a holistic manner using data engineering and associated scalable computational methods. This boo...

A practitioner's tools have a direct impact on the success of his or her work. This book will provide the data scientist with the tools and techniq...

Reducere. Success in data science depends on the flexible and appropriate use of tools. That includes Python and R, two of the foundational programming langu...

DescriptionThis textbook describes the broadening methodology spectrum of psychological measurement in order to meet the statistical needs of a mod...

The Foundational Hands-On Skills You Need to Dive into Data Science "Freeman and Ross have created the definitive resource for new and aspiring dat...

Reducere. Contributor(s): Author: Ashutosh R. NandeshwarAuthor: Devine RodgerDiscover the techniques used by the top R programmers to generate data-driven so...

Reducere. Are you keen to learn Python Programming? Have you wanted to learn how to become a Python programmer? If so, this guide is the perfect match for pe...

Reducere. DescriptionThis book is a guide for you on how to use Pandas and Numpy in Python programming language for data analysis. The author begins by helpi...

Publisher: John Wiley & Sons IncAuthor(s): R SeiersenNumber of pages: 320Publication date: 2022Dimensions: 161 x 237 x 26Cover type: HardbackRedesc...

Real-world data sets are messy and complicated. Written for students in social science and public management, this authoritative but approachable g...

DescriptionProbability and Statistics for Data Science: Math + R + Data covers "math stat"--distributions, expected value, estimation etc.--but tak...

Reducere. "The most enjoyable work on Tolkien I have read in many years" Christina ScullAragorn. Strider. King. Ranger. He is one of the most famous and cele...

Publisher: Pearson Education (US)Author(s): Douglas EadlineNumber of pages: 256Publication date: 2017Dimensions: 179 x 232 x 16Cover type: Paperbac...

From the reviews: "... The notes and problems at the end of each chapter are very helpful. [...] In the final analysis, the book is definitely wort...

STAT2 is designed to help students build on their statistical knowledge in order to analyze rich datasets using statistical models. The book develo...

This text gives a practical explanation of what reliability-centred maintenance is and how it is efectively applied. The plant-based approach of th...

Currently, there are a lack of intermediate /advanced level textbooks which introduce students and practicing statisticians to the updated methods ...

Reducere. ** TIDYVERSION** Designed for beginning and intermediate data scientists, graduate students starting research, undergraduate students taking a firs...

We are in an age of big data where all of our everyday interactions and transactions generate data. Much of this data is spatial - it is collected ...

This book guides the reader in the analysis of big-data by providing theoretical and practical instruments to tame the complexity of such systems. ...

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This book is a handbook for political scientists new to R who want to learn the most useful and common ways to interpret and analyze political data...

DescriptionProvides an up-to-date analysis of big data and multi-agent systems The term Big Data refers to the cases, where data sets are too large...

Redescopera farmecul lecturii si alege-ti de pe elefant.ro carti in limba engleza scrise de autori consacrati. Iti punem la dispozitie sute de mii ...