Book Image

The Statistics and Machine Learning with R Workshop

By : Liu Peng
4 (1)
Book Image

The Statistics and Machine Learning with R Workshop

4 (1)
By: Liu Peng

Overview of this book

The Statistics and Machine Learning with R Workshop is a comprehensive resource packed with insights into statistics and machine learning, along with a deep dive into R libraries. The learning experience is further enhanced by practical examples and hands-on exercises that provide explanations of key concepts. Starting with the fundamentals, you’ll explore the complete model development process, covering everything from data pre-processing to model development. In addition to machine learning, you’ll also delve into R's statistical capabilities, learning to manipulate various data types and tackle complex mathematical challenges from algebra and calculus to probability and Bayesian statistics. You’ll discover linear regression techniques and more advanced statistical methodologies to hone your skills and advance your career. By the end of this book, you'll have a robust foundational understanding of statistics and machine learning. You’ll also be proficient in using R's extensive libraries for tasks such as data processing and model training and be well-equipped to leverage the full potential of R in your future projects.
Table of Contents (20 chapters)
1
Part 1:Statistics Essentials
8
Part 2:Fundamentals of Linear Algebra and Calculus in R
12
Part 3:Fundamentals of Mathematical Statistics in R

Part 1:Statistics Essentials

This part is designed to equip you with knowledge of statistical and programming fundamentals, focusing particularly on the versatile R language, which will serve as the cornerstone for more advanced topics in subsequent parts.

By the end of this part, you’ll have a strong grasp of the core statistical and programming concepts essential for any data science practitioner to understand. With these foundational skills in hand, you’ll be well prepared to delve into the more specialized topics that await you in subsequent parts of this book.

This part has the following chapters: