Principles of Data Science
assets.openstax.org·35.6 MB
... Basics 269. 6. Introduction 269. 6.1 What Is Machine Learning? 270. 6.2 Classification Using Machine Learning 278. 6.3 Machine Learning in Regression Analysis ...
data science textbook
9 verified PDFs
R for Data Science
digitallibrary.tsu.ge·33.0 MB
R for Data Science by Hadley Wickham and Garrett . After reading this book, you'll have the tools to tackle a wide variety of data science challenges, using ...
Practical Data Science with R - FOI
mathematics.foi.hr·24.2 MB
Our goal is to present data science from a pragmatic, practice-oriented viewpoint. We work toward this end by concentrating on fully worked exercises on ...
[PDF] Data Science and Machine Learning - Mathematical and Statistical Methods
people.smp.uq.edu.au·20.1 MB
In our present world of automation, cloud computing, algorithms, artificial intelligence, and big data, few topics are as relevant as data science and ...
Data Science: Theories, Models, Algorithms, and Analytics
srdas.github.io·14.2 MB
Data Science: Theories, Models, Algorithms, and Analytics. Page 1. SANJIV RANJAN DAS. DATA SCIENCE: THEORIES,
[PDF] Python for Data Analysis
www.lkhibra.ma·8.9 MB
Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It's ideal ...
Data Science from Scratch
jcer.in·5.9 MB
In this book, you'll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude ...
Foundations of Data Science - Department of Computer Science
www.cs.cornell.edu·2.4 MB
by A Blum · Cited by 66 — Foundations of Data Science. ∗. Avrim Blum, John Hopcroft, and ... observe using the basics of the power method in Chapter 3 that the process converges to.
A Hands-On Introduction to Data Science
assets.cambridge.org·450.0 KB
This book introduces the field of data science in a practical and accessible manner, using a hands-on approach that assumes no prior knowledge of the ...
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