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R: Recipes for Analysis, Visualization and Machine Learning

R: Recipes for Analysis, Visualization and Machine Learning

Viswa Viswanathan; Shanthi Viswanathan; Atmajitsinh Gohil; Yu-Wei Chiu)

Packt Publishing Limited
2016
nidottu
Get savvy with R language and actualize projects aimed at analysis, visualization and machine learning About This Book * Proficiently analyze data and apply machine learning techniques * Generate visualizations, develop interactive visualizations and applications to understand various data exploratory functions in R * Construct a predictive model by using a variety of machine learning packages Who This Book Is For This Learning Path is ideal for those who have been exposed to R, but have not used it extensively yet. It covers the basics of using R and is written for new and intermediate R users interested in learning. This Learning Path also provides in-depth insights into professional techniques for analysis, visualization, and machine learning with R - it will help you increase your R expertise, regardless of your level of experience. What You Will Learn * Get data into your R environment and prepare it for analysis * Perform exploratory data analyses and generate meaningful visualizations of the data * Generate various plots in R using the basic R plotting techniques * Create presentations and learn the basics of creating apps in R for your audience * Create and inspect the transaction dataset, performing association analysis with the Apriori algorithm * Visualize associations in various graph formats and find frequent itemset using the ECLAT algorithm * Build, tune, and evaluate predictive models with different machine learning packages * Incorporate R and Hadoop to solve machine learning problems on big data In Detail The R language is a powerful, open source, functional programming language. At its core, R is a statistical programming language that provides impressive tools to analyze data and create high-level graphics. This Learning Path is chock-full of recipes. Literally! It aims to excite you with awesome projects focused on analysis, visualization, and machine learning. We'll start off with data analysis - this will show you ways to use R to generate professional analysis reports. We'll then move on to visualizing our data - this provides you with all the guidance needed to get comfortable with data visualization with R. Finally, we'll move into the world of machine learning - this introduces you to data classification, regression, clustering, association rule mining, and dimension reduction. This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products: * R Data Analysis Cookbook by Viswa Viswanathan and Shanthi Viswanathan * R Data Visualization Cookbook by Atmajitsinh Gohil * Machine Learning with R Cookbook by Yu-Wei, Chiu (David Chiu) Style and approach This course creates a smooth learning path that will teach you how to analyze data and create stunning visualizations. The step-by-step instructions provided for each recipe in this comprehensive Learning Path will show you how to create machine learning projects with R.
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Innovative Steganografie-Techniken für die Sicherheit medizinischer Bilder

Innovative Steganografie-Techniken für die Sicherheit medizinischer Bilder

Lakshmanan S; Mary Shanthi Rani M

Verlag Unser Wissen
2023
pokkari
Die bermittlung digitaler Informationen ist heutzutage aufgrund der schnellen Zugriffsm glichkeiten sehr verbreitet. Um den Sicherheitsbedrohungen in der modernen Kommunikation zu widerstehen, ist eine breite Palette von Technologien f r einen durchg ngigen Schutz erforderlich. Es gibt verschiedene Arten der Informationssicherheit, n mlich Steganografie und Kryptografie. Die Steganografie wird gew hlt, wenn eine sichere Kommunikation angestrebt wird; au erdem sollte das Wasserzeichen in Betracht gezogen werden, wenn ein Urheberrechtsschutz angestrebt wird. Bei diesen Techniken ist jedoch eine dauerhafte Zerst rung des Datentr gers in der Regel unvermeidlich, selbst nachdem die eingebetteten Daten extrahiert wurden. Einige triviale Anwendungen wie medizinische Diagnosen, geografische Karten, milit rische Karten und Fernerkundung erfordern eine perfekte Wiederherstellung des Deckbildes. Dieses Buch konzentriert sich auf die Entwicklung reversibler Datenverstecktechniken, die effektiv geheime Daten in medizinischen Bildern verstecken und eine hohe Unwahrnehmbarkeit und eine gute Qualit t des Stegobildes ohne viel Rechenzeit erreichen.
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Techniques innovantes de stéganographie pour la sécurité des images médicales

Techniques innovantes de stéganographie pour la sécurité des images médicales

Lakshmanan S; Mary Shanthi Rani M

Editions Notre Savoir
2023
pokkari
La communication d'informations num riques devient fr quente de nos jours, en raison de sa capacit d'acc s rapide. Un large ventail de technologies de protection de bout en bout est n cessaire pour r sister aux menaces qui p sent sur la s curit des communications modernes. La s curit de l'information se d cline en deux types: la st ganographie et la cryptographie. La st ganographie sera choisie si l'objectif est de s curiser la communication; en outre, le filigrane devrait tre envisag si l'objectif est de prot ger les droits d'auteur. Toutefois, dans ces techniques, la destruction permanente du support de couverture est normalement in vitable, m me apr s l'extraction des donn es incorpor es. Certaines applications triviales telles que le diagnostic m dical, les cartes g ographiques, les cartes militaires et la t l d tection exigent une restauration parfaite de l'image de couverture. Ce livre se concentre sur le d veloppement de techniques de dissimulation de donn es r versibles qui cachent efficacement des images m dicales dans des donn es secr tes, ce qui permet d'obtenir une imperceptibilit lev e et une image st go de bonne qualit sans trop de temps de calcul.
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Tecniche innovative di steganografia per la sicurezza delle immagini mediche

Tecniche innovative di steganografia per la sicurezza delle immagini mediche

Lakshmanan S; Mary Shanthi Rani M

Edizioni Sapienza
2023
pokkari
La comunicazione di informazioni digitali diventa frequente al giorno d'oggi, grazie alla sua capacit di accesso rapido. Per resistere alle minacce alla sicurezza delle comunicazioni moderne necessaria un'ampia gamma di tecnologie per la protezione end-to-end. La sicurezza delle informazioni ha diversi tipi: la steganografia e la crittografia. La steganografia viene scelta se l'obiettivo una comunicazione sicura; inoltre, il watermarking dovrebbe essere preso in considerazione se l'obiettivo la protezione del copyright. Tuttavia, in queste tecniche, la distruzione permanente del supporto di copertura normalmente inevitabile, anche dopo l'estrazione dei dati incorporati. Alcune applicazioni banali come la diagnosi medica, le mappe geografiche, le mappe militari e il telerilevamento insistono sul ripristino perfetto dell'immagine di copertura. Questo libro incentrato sullo sviluppo di tecniche reversibili di occultamento dei dati che nascondono efficacemente nei dati segreti le immagini mediche, ottenendo un'elevata impercettibilit e un'immagine stego di buona qualit , senza un grande dispendio di tempo di calcolo.
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Técnicas inovadoras de esteganografia para segurança de imagens médicas

Técnicas inovadoras de esteganografia para segurança de imagens médicas

Lakshmanan S; Mary Shanthi Rani M

Edicoes Nosso Conhecimento
2023
pokkari
Atualmente, a comunica o de informa es digitais frequente, devido sua capacidade de acesso r pido. Para resistir s amea as seguran a nas comunica es modernas, necess ria uma vasta gama de tecnologias de prote o de extremo a extremo. A seguran a da informa o tem diferentes tipos, nomeadamente a esteganografia e a criptografia. A esteganografia ser escolhida se o objetivo for a comunica o segura; por outro lado, a marca de gua deve ser considerada se o objetivo for a prote o dos direitos de autor. No entanto, nestas t cnicas, a destrui o permanente do suporte de cobertura normalmente inevit vel, mesmo depois de os dados incorporados terem sido extra dos. Algumas aplica es triviais, como o diagn stico m dico, os mapas geogr ficos, os mapas militares e a dete o remota, insistem em restaurar perfeitamente a imagem de cobertura. Este livro centra-se no desenvolvimento de t cnicas revers veis de oculta o de dados que escondem eficazmente em dados secretos imagens m dicas, alcan ando uma elevada impercetibilidade e uma imagem de boa qualidade sem muito tempo de computa o.
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Fundamentals OF MACHINE LEARNING with python

Fundamentals OF MACHINE LEARNING with python

Geetha R; Shanthi Latha K; Malar K

Lap Lambert Academic Publishing
2024
nidottu
Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy. IBM has a rich history with machine learning. Python, when used in machine learning, offers developers of all skill sets exceptional versatility and power. Developers can use Python to develop a variety of applications because it integrates well with other software while its simple syntax makes it a good choice for coding algorithms and collaborating across teams.
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