Abstract: Traditional manual methods can no longer meet the needs of analyzing the increasing number of literary works, and most existing sentiment analysis technologies are limited to simple ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

This project serves as a complete portfolio demonstrating my journey from Python fundamentals to advanced data analytics techniques. It includes hands-on examples of data cleaning, exploration, ...

This three-day course is designed for researchers, students, and professionals more broadly, and equips participants with the skills to analyse text at scale using quantitative methods, machine ...