Book Details:
Publisher: | O'Reilly Media |
Series: |
OReilly
|
Author: | Garrett Wickham |
Edition: | 1 |
ISBN-10: | 1491910399 |
ISBN-13: | 9781491910399 |
Pages: | 522 |
Published: | Jan 20 2017 |
Posted: | Apr 23 2017 |
Language: | English |
Book format: | PDF |
Book size: | 19.14 MB |
Book Description:
What exactly is data science? With this book, you';ll gain a clear understanding of this discipline for discovering natural laws in the structure of data. Along the way, you';ll learn how to use the versatile R programming language for data analysis.Whenever you measure the same thing twice, you get two results-as long as you measure precisely enough. This phenomenon creates uncertainty and opportunity. Author Garrett Grolemund, Master Instructor at RStudio, shows you how data science can help you work with the uncertainty and capture the opportunities. You';ll learn about:Data Wrangling-how to manipulate datasets to reveal new informationData Visualization-how to create graphs and other visualizationsExploratory Data Analysis-how to find evidence of relationships in your measurementsModelling-how to derive insights and predictions from your dataInference-how to avoid being fooled by data analyses that cannot provide foolproof resultsThrough the course of the book, you';ll also learn about the statistical worldview, a way of seeing the world that permits understanding in the face of uncertainty, and simplicity in the face of complexity.
Learn and explore the fundamentals of data science with R About This BookFamiliarize yourself with R programming packages and learn how to utilize them effectivelyLearn how to detect different types of data mining sequencesA step-by-step guide to understanding R scripts and the ramifications of your changesWho This Book Is ForIf you are a data analyst who has a firm grip on some advanced data analysis techniques and wants to learn how to leverage the features of R, this is the book for you. You should have some basic knowledge of the R language and should know about some data science topics. In Detail R is a powerful, open source, functional programming language. It can be used for a wide range of programming tasks and is best suited to produce data ...
Explore the world of data science through Python and learn how to make sense of data About This Book * Master data science methods using Python and its libraries * Create data visualizations and mine for patterns * Advanced techniques for the four fundamentals of Data Science with Python - data mining, data analysis, data visualization, and machine learning Who This Book Is For If you are a Python developer who wants to master the world of data science then this book is for you. Some knowledge of data science is assumed. What You Will Learn * Manage data and perform linear algebra in Python * Derive inferences from the analysis by performing inferential statistics * Solve data science problems in Python * Create high-end visualizations using Python *...
Statistics, big data, and machine learning for Clojure programmers About This Book * Write code using Clojure to harness the power of your data * Discover the libraries and frameworks that will help you succeed * A practical guide to understanding how the Clojure programming language can be used to derive insights from data Who This Book Is For This book is aimed at developers who are already productive in Clojure but who are overwhelmed by the breadth and depth of understanding required to be effective in the field of data science. Whether you're tasked with delivering a specific analytics project or simply suspect that you could be deriving more value from your data, this book will inspire you with the opportunities-and inform you of the risks-...
2007 - 2021 © eBooks-IT.org