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R Programming: 3 Books in 1
- R Basics for Beginners + R Data Analysis and Statistics + R Data Visualization
- Narrado por: Helpful Matthew
- Duración: 11 h y 49 m
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Grandes primeros Títulos
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Resumen del Editor
Book one:
R is an open-source statistical environment and programming language that has grown in popularity for data management and analysis in various industries. “R” Programming teaches you all the R you'll ever need in a rapid and painless manner.
This accessible tutorial taught you your way around a list with no previous programming expertise and loads of practical examples, step-by-step exercises, and sample code. This book covers the most significant modeling and prediction methods, as well as their applications.
Learn how to use R to transform raw data into knowledge, understanding, and insight. This book introduces you to R, RStudio, and the tidyverse, a set of R tools that work together to make data research simple, fluent, and enjoyable. This book is meant to get you practicing data science as fast as possible, even if you have no prior programming expertise. You'll get a comprehensive grasp of the data science cycle and the fundamental tools you'll need to handle the details.
R is becoming more well-known by the day, as large institutions embrace it as a standard. Its popularity stems partly from the fact that it is a free tool replacing expensive statistical software products that may take an undue amount of time to master. Furthermore, R allows a user to do complicated statistical analyses with only a few keystrokes, making advanced studies accessible and clear to a broad audience.
Learn how to import data, construct and dismantle data objects, traverse R's environment system, develop your own functions, and utilize all of R's programming tools with this book. This book will not only teach you how to program but also how to use R for more than simply displaying and analyzing data.
Most of the chapters are written for you to understand statistical data, so if you are a student, this book can guarantee to teach you some basic statistics that will help you get good grades.
The book is highly informative with lots of code. Following the book, you will be able to start Rstudio and use the program smoothly.
Book two:
Interested in statistical computing ?
R Programming: Data Analysis and Statistics is a beginner-friendly book. It is written in an accessible way, and deal with the basics as well as more complex problems.
No prior statistical knowledge is required.
This book may also help more advanced programmers expand their skills.
Book three:
This book is like a friend who advises and guides you on how to use the ggplot2 package for making data visualizations. With this book, you will learn how to get started with data visualization in R. You will learn basic concepts of graphics, and you will also learn how to perform statistical analyses.
This book is for everyone who faces a difficult task when trying to make data visualizations using R. It is also for people who are interested in learning more about statistics and graphical techniques.
The book also teaches listeners how to get started with ggplot2, and it also introduces the basics of R so that listeners are aware of the basic commands and functions in R, as well as importing libraries.
Think of R as a programming language that provides access to the power of machine learning and statistical computing. It's software used by statisticians and data scientists, with its capabilities in statistics, data visualization, machine learning, and more.
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Deep Learning with Python (Second Edition) introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you’ll build your understanding through intuitive explanations and clear examples. You’ll quickly pick up the skills you need to start developing deep learning applications.
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Audio Version has No Data.. Needs PDF
- De Xander L. en 04-03-23
De: Francois Chollet
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Naked Statistics
- Stripping the Dread from the Data
- De: Charles Wheelan
- Narrado por: Jonathan Davis
- Duración: 10 h y 48 m
- Versión completa
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General
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Narración:
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Historia
From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you'll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more.
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Starts well then becomes non-Audible
- De Michael en 09-07-13
De: Charles Wheelan
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The Data Detective
- Ten Easy Rules to Make Sense of Statistics
- De: Tim Harford
- Narrado por: Tim Harford
- Duración: 10 h y 24 m
- Versión completa
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General
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Narración:
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Historia
Today we think statistics are the enemy, numbers used to mislead and confuse us. That’s a mistake, Tim Harford says in The Data Detective. We shouldn’t be suspicious of statistics - we need to understand what they mean and how they can improve our lives: they are, at heart, human behavior seen through the prism of numbers and are often “the only way of grasping much of what is going on around us”.
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I expected more
- De A. Visserman en 03-09-21
De: Tim Harford
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Everything Is Predictable
- How Bayesian Statistics Explain Our World
- De: Tom Chivers
- Narrado por: Tom Chivers
- Duración: 8 h y 7 m
- Versión completa
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General
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Narración:
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Historia
At its simplest, Bayes’s theorem describes the probability of an event, based on prior knowledge of conditions that might be related to the event. But in Everything Is Predictable, Tom Chivers lays out how it affects every aspect of our lives. He explains why highly accurate screening tests can lead to false positives and how a failure to account for it in court has put innocent people in jail. A cornerstone of rational thought, many argue that Bayes’s theorem is a description of almost everything. But who was the man who lent his name to this theorem?
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I was looking forward to this. What a disappointment.
- De Alessandro Fadini en 06-28-24
De: Tom Chivers
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The Art of Statistics
- How to Learn from Data
- De: David Spiegelhalter
- Narrado por: Jonathan Davis
- Duración: 9 h y 1 m
- Versión completa
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General
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Narración:
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Historia
Statistics are everywhere, as integral to science as they are to business, and in the popular media hundreds of times a day. In this age of big data, a basic grasp of statistical literacy is more important than ever if we want to separate the fact from the fiction, the ostentatious embellishments from the raw evidence - and even more so if we hope to participate in the future, rather than being simple bystanders.
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very good statistics overview
- De Tom en 11-29-19
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SQL QuickStart Guide
- The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQL
- De: Walter Shields
- Narrado por: Russell Newton
- Duración: 4 h y 9 m
- Versión completa
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General
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Narración:
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Historia
Structured query language, or SQL (pronounced "sequel" by many), is the most widely used programming language in database management and is the standard language for relational database management systems (RDBMS). SQL programming allows users to return, analyze, create, manage, and delete data within a database - all within a few commands.
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Learn SQL
- De Nicole MommaKauk en 02-16-16
De: Walter Shields
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Deep Learning with Python (Second Edition)
- De: Francois Chollet
- Narrado por: Derek Dysart
- Duración: 15 h y 1 m
- Versión completa
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General
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Narración:
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Historia
Deep Learning with Python (Second Edition) introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you’ll build your understanding through intuitive explanations and clear examples. You’ll quickly pick up the skills you need to start developing deep learning applications.
-
-
Audio Version has No Data.. Needs PDF
- De Xander L. en 04-03-23
De: Francois Chollet
-
Naked Statistics
- Stripping the Dread from the Data
- De: Charles Wheelan
- Narrado por: Jonathan Davis
- Duración: 10 h y 48 m
- Versión completa
-
General
-
Narración:
-
Historia
From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you'll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more.
-
-
Starts well then becomes non-Audible
- De Michael en 09-07-13
De: Charles Wheelan
-
The Data Detective
- Ten Easy Rules to Make Sense of Statistics
- De: Tim Harford
- Narrado por: Tim Harford
- Duración: 10 h y 24 m
- Versión completa
-
General
-
Narración:
-
Historia
Today we think statistics are the enemy, numbers used to mislead and confuse us. That’s a mistake, Tim Harford says in The Data Detective. We shouldn’t be suspicious of statistics - we need to understand what they mean and how they can improve our lives: they are, at heart, human behavior seen through the prism of numbers and are often “the only way of grasping much of what is going on around us”.
-
-
I expected more
- De A. Visserman en 03-09-21
De: Tim Harford
-
Everything Is Predictable
- How Bayesian Statistics Explain Our World
- De: Tom Chivers
- Narrado por: Tom Chivers
- Duración: 8 h y 7 m
- Versión completa
-
General
-
Narración:
-
Historia
At its simplest, Bayes’s theorem describes the probability of an event, based on prior knowledge of conditions that might be related to the event. But in Everything Is Predictable, Tom Chivers lays out how it affects every aspect of our lives. He explains why highly accurate screening tests can lead to false positives and how a failure to account for it in court has put innocent people in jail. A cornerstone of rational thought, many argue that Bayes’s theorem is a description of almost everything. But who was the man who lent his name to this theorem?
-
-
I was looking forward to this. What a disappointment.
- De Alessandro Fadini en 06-28-24
De: Tom Chivers