Generative Modelling Background At a high level, generative modelling describes the branch of AI dealing with creating new data, rather than drawing conclusions from existing data. For example, a generative modelling task may be that given a limited dataset of dog images, train a model to generate new images of dogs. This could…

Neural networks have achieved amazing performance in many ML/AI related tasks, such as speech recognition, computer vision, and NLP. Their popularity as powerful classification and regressive tools mean that many beginners often encounter them when first getting introduced to ML. Unfortunately, such individuals, myself included, often found themselves completely lost…

Introduction Machine Learning (ML) is an increasingly popular field focusing on building algorithms that “learn” and improve from data. ML is often confused with AI — the main difference lies in the fact that AI programs are often more complex and meant to simulate some facet of human behaviour.