Published: 20 March, 2020 | Volume 4 - Issue 1 | Pages: 007-013
Understanding AI, machine learning and deep learning. AI is an umbrella term for machine learning (ML) and deep learning (DL), based on principles of machines completing tasks built on stipulated rules that solve problems using computer algorithms. ML is a subset of AI where algorithms use statistical models to perform a specific task without explicit instructions to make informed decisions. Once predictive accuracy level is high enough, the machine ‘learnt’ the task. A subset of ML, called DL is based on brain-inspired systems, artificial neural networks (ANNs; types of algorithms that imitate how human neurons make decisions). They are excellent tools for finding patterns which are far too complex or numerous and require large data sets for training in order to deliver accurate results and be able to automatically discover features used for decision making for a particular (health) classification. Abbreviations: AI: Artificial Intelligence; ML: Machine Learning; DL: Deep Learning.