Anthony Constantinou Achievements In Bayesian Artificial Intelligence


Anthony Constantinou is a true legend who has gained global recognition for his exemplary achievements in all areas of his profession. Anthony holds several honorable vocations such as teaching, doing researches, freelancing, associate consultant, decision scientist, and a soldier. He is also a leader in Bayesian Artificial Intelligence and a professor in the Queen Mary University of London.

Apart from working in various careers, Anthony’ major research is in Bayesian Artificial intelligence. His researches focus primarily on sports, economics, medicine, finance, and gaming. Apparently, he works on the ERC-funded BAYES KNOWLEDGE, a project under the leadership of Professor Norman Fenton. He has also been expanding his knowledge and skills by attending probability and Statistics in Forensic science classes at the Isaac Newton Institute University. Go To This Page to learn more.

Anthony Constantinou is an alumnus of Hertfordshire University, where he pursued his post-graduate studies majoring in Artificial intelligence with Robotics. His education background created a strong platform for him, to get equipped with profound skills for his research projects. Anthony has extensive knowledge of Bayesian Networks for decision making, engineering, probability, data mining, and statistics among others.

Anthony Constantinou is recognized widely for his exponential success in projects developments, researches, and publications. Anthony Constantinou created legacy in various fields, and that’s the reason many people like being associated with him. Anthony Constantinou believes in teamwork, and has been working with different people, and global manufacturing organizations, to achieve quality results.

In 2010, Anthony Constantinou recorded a major achievement where he designed a pi-football model which was very useful in prediction of the EPL matches. His model gained a major recognition, and was ranked 2nd in the International special issue completion, which was being covered by the Machine Learning Journal. The discovery made him gain a distinguished reputation, thus earning him more respect within the AI research community.

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