Holidays bring celebration, rest and, for many families, long stretches of indoor time. For some, this means tabletop games quickly reappear on kitchen tables. Games provide opportunities for learning ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

The course provides insight on how to formulate a problem into statistical language, how to build a statistical model, how to analyse data and how to validate results. Regession methods (that is ...

Why a $15 Million Pledge May Not Be Enough to Save Bitcoin from Quantum Doom Baffling: Why a $15 Million Pledge May Not Be Enough to Save Bitcoin from Quantum Doom The Looming Quantum Shadow Over ...

Abstract: Time series forecasting is critical for various fields such as stock market prediction, weather forecasting, and risk management. Traditional models like ARIMA and SARIMA are limited in ...

by Benoit Liquet, Sarat Moka and Yoni Nazarathy This book provides a complete and concise overview of the mathematical engineering of deep learning. In addition to overviewing deep learning ...

Reversed degree-based graph invariants in machine learning-driven QSPR analysis of antiviral drugs Nokwanda Princess Shiba Kazeem Olalekan Aremu Malose Joseph Fatlane Muhammad Shafii Abubakar ...

Our current PhD opportunities are projects which already have a topic and a supervisor allocated. Some have funding already attached but some may require you to provide your own funding.