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The Statistics and Machine Learning with R Workshop

You're reading from   The Statistics and Machine Learning with R Workshop Unlock the power of efficient data science modeling with this hands-on guide

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Product type Paperback
Published in Oct 2023
Publisher Packt
ISBN-13 9781803240305
Length 516 pages
Edition 1st Edition
Languages
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Author (1):
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Liu Peng Liu Peng
Author Profile Icon Liu Peng
Liu Peng
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Table of Contents (20) Chapters Close

Preface 1. Part 1:Statistics Essentials
2. Chapter 1: Getting Started with R FREE CHAPTER 3. Chapter 2: Data Processing with dplyr 4. Chapter 3: Intermediate Data Processing 5. Chapter 4: Data Visualization with ggplot2 6. Chapter 5: Exploratory Data Analysis 7. Chapter 6: Effective Reporting with R Markdown 8. Part 2:Fundamentals of Linear Algebra and Calculus in R
9. Chapter 7: Linear Algebra in R 10. Chapter 8: Intermediate Linear Algebra in R 11. Chapter 9: Calculus in R 12. Part 3:Fundamentals of Mathematical Statistics in R
13. Chapter 10: Probability Basics 14. Chapter 11: Statistical Estimation 15. Chapter 12: Linear Regression in R 16. Chapter 13: Logistic Regression in R 17. Chapter 14: Bayesian Statistics 18. Index 19. Other Books You May Enjoy

Summary

In this chapter, we covered the basics of calculus, including differential calculus and integral calculus. In the first section, we introduced an intuitive understanding of these two branches of calculus and covered the fundamentals of common functions and their properties. We started introducing the concept of limit and its connection to the definition of a derivative, followed by covering common derivative rules and properties. We also discussed integral calculus, including indefinite integrals and definite integrals, along with their rules and properties.

The second and third sections touched upon implementations in R. We introduced how to carry out common differentiation and integration using the D() and antiD() functions, with several examples illustrating their usage and conversion between the derivative function and its antiderivative.

In the next chapter, we will enter into the realm of mathematical statistics, starting with the basics of probability.

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