Description: Further DetailsTitle: Statistics for Data ScienceCondition: NewEAN: 9781788290678ISBN: 9781788290678Publisher: Packt Publishing LimitedFormat: PaperbackRelease Date: 11/17/2017Description: Get your statistics basics right before diving into the world of data scienceAbout This Book• No need to take a degree in statistics, read this book and get a strong statistics base for data science and real-world programs;• Implement statistics in data science tasks such as data cleaning, mining, and analysis• Learn all about probability, statistics, numerical computations, and more with the help of R programsWho This Book Is ForThis book is intended for those developers who are willing to enter the field of data science and are looking for concise information of statistics with the help of insightful programs and simple explanation. Some basic hands on R will be useful.What You Will Learn• Analyze the transition from a data developer to a data scientist mindset• Get acquainted with the R programs and the logic used for statistical computations• Understand mathematical concepts such as variance, standard deviation, probability, matrix calculations, and more• Learn to implement statistics in data science tasks such as data cleaning, mining, and analysis• Learn the statistical techniques required to perform tasks such as linear regression, regularization, model assessment, boosting, SVMs, and working with neural networks• Get comfortable with performing various statistical computations for data science programmaticallyIn DetailData science is an ever-evolving field, which is growing in popularity at an exponential rate. Data science includes techniques and theories extracted from the fields of statistics; computer science, and, most importantly, machine learning, databases, data visualization, and so on.This book takes you through an entire journey of statistics, from knowing very little to becoming comfortable in using various statistical methods for data science tasks. It starts off with simple statistics and then move on to statistical methods that are used in data science algorithms. The R programs for statistical computation are clearly explained along with logic. You will come across various mathematical concepts, such as variance, standard deviation, probability, matrix calculations, and more. You will learn only what is required to implement statistics in data science tasks such as data cleaning, mining, and analysis. You will learn the statistical techniques required to perform tasks such as linear regression, regularization, model assessment, boosting, SVMs, and working with neural networks.By the end of the book, you will be comfortable with performing various statistical computations for data science programmatically.Style and approachStep by step comprehensive guide with real world examplesLanguage: EnglishCountry/Region of Manufacture: GBItem Height: 93mmItem Length: 75mmAuthor: James D. MillerGenre: Computing & InternetRelease Year: 2017 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Book Title: Statistics for Data Science
Title: Statistics for Data Science
EAN: 9781788290678
ISBN: 9781788290678
Release Date: 11/17/2017
Release Year: 2017
Country/Region of Manufacture: GB
Item Height: 93mm
Item Length: 75mm
Genre: Computing & Internet
Publisher: Packt Publishing, The Limited
Subject: Programming Languages / General, Machine Theory, Mathematical & Statistical Software, Probability & Statistics / General, Data Processing
Publication Year: 2017
Number of Pages: 286 Pages
Publication Name: Statistics for Data Science
Language: English
Type: Textbook
Subject Area: Mathematics, Computers
Author: James D. Miller
Format: Trade Paperback
