Key FeaturesBook DescriptionIf you want to learn network analysis and visualization along with graph concepts from scratch, then this book is for you. This is ideal for those of you with little or no understanding of Gephi and this domain, but will also be beneficial for those interested in expanding their knowledge and experience.What you will learnInstall and configure Gephi on your system and understand its various features...

This book presents a fresh perspective on combating cyber crime, showcasing innovative solutions from experts across various fields. With the integration of artificial intelligence (AI), contemporary challenges are addressed with state-of-the-art strategies. The book discusses a wide range of timely issues within the domain of cyber crime and investigation, emphasizing AI-driven solutions and future multidisciplinary perspectives. As data becomes central to all digital interactions, it als...

Come, listen to the sweet jungle orchestra, featuring the Woodpecker's drums, the Hornbill's trumpet and the Kingfisher's blues When curious little Gul hears some strange sounds coming from her radio, she follows the musical clues into . . . an Indian jungle! On her walk, she finds feathered friends who TWEET, TAPP and TALK. There are some who howl and hoot, and others who play the flute. With a KEE here and a KAW there, Gul discovers songs everywhere! Brought to life by painterly illustra...

If you’re considering R for statistical computing and data visualization, this book provides a quick and practical guide to just about everything you can do with the open source R language and software environment. You’ll learn how to write R functions and use R packages to help you prepare, visualize, and analyze data. Author Joseph Adler illustrates each process with a wealth of examples from medicine, business, and sports.Updated for R 2.14 and 2.15, this second edition includes...

This practical guide provides more than 150 recipes to help you generate high-quality graphs quickly, without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project, and includes a discussion of how and why the recipe works.Most of the recipes use the ggplot2 package, a powerful and flexible way to make graphs in R. If you have a basic understanding of the R language, you’re ready to g...

A practical, hands-on guide, that provides you with all the tools you need to visualize and analyze your data using network graphs with Gephi.This book is for data analysts who want to intuitively reveal patterns and trends, highlight outliers, and tell stories with their data using Gephi. It is great for anyone looking to explore interactions within network datasets, whether the data comes from social media or elsewhere. It is also a valuable resource for those seeking to learn more about...

Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, youâ??ll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts.The second half of Learning R shows you real data analysis in action by covering everything from importing data to publishing your results. Each chapter in the book includ...

If you want to learn how to use R for machine learning and gain insights from your data, then this book is ideal for you. Regardless of your level of experience, this book covers the basics of applying R to machine learning through to advanced techniques. While it is helpful if you are familiar with basic programming or machine learning concepts, you do not require prior experience to benefit from this book.

Unleash the power and flexibility of the Bayesian frameworkKey FeaturesSimplify the Bayes process for solving complex statistical problems using Python;Tutorial guide that will take the you through the journey of Bayesian analysis with the help of sample problems and practice exercises;Learn how and when to use Bayesian analysis in your applications with this guide.Book DescriptionThe purpose of this book is to teach the main...

Build Machine Learning models with a sound statistical understanding.Key FeaturesLearn about the statistics behind powerful predictive models with p-value, ANOVA, and F- statistics.Implement statistical computations programmatically for supervised and unsupervised learning through K-means clustering.Master the statistical aspect of Machine Learning with the help of this example-rich guide to R and Python.Book DescriptionCompl...

Process Algebra is a formal description technique for complex computer systems, especially those involving communicating, concurrently executing components. It is a subject that concurrently touches many topic areas of computer science and discrete math, including system design notations, logic, concurrency theory, specification and verification, operational semantics, algorithms, complexity theory, and, of course, algebra.This Handbook documents the fate of process algebra since its incep...

Get to grips with key data visualization and predictive analytic skills using R Key FeaturesAcquire predictive analytic skills using various tools of RMake predictions about future events by discovering valuable information from data using RComprehensible guidelines that focus on predictive model design with real-world dataBook DescriptionThis book is packed with easy-to-follow guidelines that explain the workings of the many...