Weka is a strong yet approachable machine learning and data mining tool. Data mining and big data are hot topics right now. Rather than diving into intricate mathematical theories or sophisticated algorithmic details, this course emphasizes hands-on experience with Weka and the practical applications of data mining tools and techniques. In addition to performing text classification and working with datasets with millions of instances, students will also investigate clustering, association rules, and other topics.

Machine learning provides an exciting set of technologies that includes practical tools for analyzing data and making predictions.It also powers the latest advances in artificial intelligence.The book continues to provide references to Weka implementations of algorithms that it describes. The Weka MOOCs provide activities similar to the tutorial exercises.It is our endeavour to make machine learning using Weka, a Discipline of statistics and computer science, the theory and practice of all of the plots and numerical output displayed in the book have been produced with the Weka software,...

Diabetic retinopathy is one of the most common and serious complications of diabetes and a leading cause of preventable blindness worldwide. Early detection and timely treatment are essential to prevent vision loss; however, large-scale screening remains challenging due to the shortage of ophthalmologists and the subjective nature of manual diagnosis. This book addresses these challenges by exploring automated diagnostic approaches based on deep learning.

La rétinopathie diabétique est l'une des complications les plus courantes et les plus graves du diabète et l'une des principales causes de cécité évitable dans le monde. Une détection précoce et un traitement opportun sont essentiels pour prévenir la perte de vision ; cependant, le dépistage à grande échelle reste difficile en raison de la pénurie d'ophtalmologistes et de la nature subjective du diagnostic manuel. Ce livre aborde ces défis en explorant les approches de diagnostic automatisé basées sur l'apprentissage profond.

Die diabetische Retinopathie ist eine der häufigsten und schwerwiegendsten Komplikationen von Diabetes und eine der Hauptursachen für vermeidbare Erblindung weltweit. Frühzeitige Erkennung und rechtzeitige Behandlung sind unerlässlich, um den Verlust des Sehvermögens zu verhindern. Aufgrund des Mangels an Augenärzten und des subjektiven Charakters der manuellen Diagnose ist ein großflächiges Screening jedoch nach wie vor eine Herausforderung. Dieses Buch befasst sich mit diesen Herausforderungen, indem es automatisierte Diagnoseansätze auf der Grundlage von Deep Learning erforscht.

R's computational core, covering fundamental data types, vectorized operations, and advanced data structures including matrices, arrays, lists, factors, and data frames. It emphasizes efficient numerical computation, logical and character vector operations, and structured data manipulation, along with R's object-oriented systems (S3, S4, and Reference Classes) for building modular, scalable programs. The focus is on computation-oriented programming principles essential for statistical computing and data-centric applications.