Active learning represents a transformative paradigm in machine learning, aimed at reducing the annotation burden by selectively querying the most informative data points. This approach leverages ...

An introduction to machine learning including key concepts, methods and algorithms. The course has a focus on neural networks and training methods and includes the practical application and ...

Database optimization has long relied on traditional methods that struggle with the complexities of modern data environments. These methods often fail to efficiently handle large-scale data, complex ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

Mathematics has always been one of the most challenging subjects for students of all ages. From simple arithmetic to complex ...