Statistics for Data Science

Lingua: inglese

Editore: Packt Publishing Limited, GB, 2017

1788290674 / 9781788290678

Da: Rarewaves.com USA, London, London, Regno UnitoRarewaves.com USA

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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 examples.…

Codice articolo LU-9781788290678

Titolo
Statistics for Data Science
Autore
James D. Miller
Editore
Packt Publishing Limited, GB
Anno di pubblicazione
2017
Condizione
New
Rilegatura
Paperback
Lingua
inglese
ISBN 10
1788290674
ISBN 13
9781788290678

Rarewaves.com USA

London, London, Regno Unito

Venditore con 5 stelle

Venditore AbeBooks dal 11 giugno 2025

Tariffe di spedizione da Regno Unito a U.S.A.

ArticoloDa 9 a 14 giorni lavorativiDa 9 a 14 giorni lavorativi
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