We also provide a PDF file that has color images of the screenshots/diagrams used in this book. Click here to download it. Aditya Bhattacharya is an Explainable AI Researcher at KU Leuven with an ...

In recent years, deep learning and big data machine learning techniques have developed rapidly and achieved an amazing level of performance in many areas including image classification and speech ...

along with implementing privacy-preserving machine learning techniques such as differentially private ML. This book is for machine learning practitioners interested in applying their skills to solve ...

Abstract: Super‐resolution is a class of techniques for upscaling images or video. Owing to the significant advancements in the field of machine learning and deep learning in the last decade, this is ...

A list of resources for source code analysis application using Machine Learning techniques (eg, Deep Learning, PCA, SVM, Bayesian, proabilistic models, reinformcement learning techniques etc) Please ...

The course includes topics in statistical theory that are now becoming important for researchers in machine learning, including consistency, minimax estimation, and concentration of measure. It also ...

Binjumah, W. (2025) A Conceptual Model for Improving Perovskite Solar Cells Efficiency Using Machine Learning. International ...