Algorithms of the Intelligent Web, 2nd Edition
Intelligent networks mean different things to different people. To some, it represents the evolution of the Web into a more…
A quiet space where enjoying reading books
Intelligent networks mean different things to different people. To some, it represents the evolution of the Web into a more…
Problems and Solutions Mechanical Engineering Mechanical engineering is a broad field that is founded on the fundamentals of physics, mathematics,…
Preface This book introduces some of the techniques and methods used by Python in various fields. They are from the…
Introduction Data analytics is getting into the lexicon of our daily language. If the remarks heard throughout the day include “big…
Brief Introduction Data science is all the rage. Every book you read, every website you visit, every advertisement you receive…
Data science is an interdisciplinary practice that draws on methods such as data engineering, descriptive statistics, data mining, machine learning, and predictive analytics. Like data science, operations research focuses on executing data-driven decisions and managing their results.
R is open source software which can run well on multiple platforms, like Unix, Linux, Apple’s macOS, and Microsoft Windows. R is a rich and broad language, and there are usually many ways to accomplish the same task. This represents an initial learning curve, as it is difficult to understand what R programs mean until you are familiar with the notation. However, reviewing some of the basic notations is well rewarded, which is good for understanding the R to learn data science methods and practices.