Our goal is to bring academics and practitioners together to study theoretical aspects of machine learning and the mathematical and statistical justification.Our format during the meetup is to read th... (more…)

With 30 questions and answers on key concepts in machine learning and AI, this book provides bite-sized nuggets for your journey from machine learning beginner to exper. Even experienced machine learning researchers and practitioners will encounter someth... (more…)

My previous post on summarising 57 research papers turned out to be quite useful for people working in this field, so it is about time… (more…)

Practitioners from diverse occupations and backgrounds are increasingly using machine learning (ML) methods. Nonetheless, studies on ML Practitioners typically draw populations from Big Tech and academia, as researchers have easier access to these communi... (more…)

It seems that one of the most problematic topics for machine-learning self-learners is to understand the difference between parameters and hyper-parameters. The concept of hyper-parameters is very important, because these values directly influence overall... (more…)