Machine Learning

Though often confused with AI, machine learning (ML) is where we currently stand in our quest to achieve actual (or sentient) artificial intelligence. After all, while at the moment, we are not yet able to hold full-blown conversations with our devices, today’s ML algorithms have ushered in a brand new era in automation.

How Does Machine Learning Work?

As the name implies, with the help of some very clever algorithms, machine learning allows us to feed data into our machines (known as “training data”) to automatically perform predictions without any explicit programming — as if they’d learnt to do it all by themselves. In this way, we can develop software solutions to scan images for objects and faces, respond to specific voice commands, and recognise other useful patterns.

Supervised Learning

In supervised learning, algorithms make use of both training data and human feedback to understand the relationship between a given set of inputs and outputs. Popular use cases include forecasting sales, generating personalised recommendations, predicting equipment maintenance and allocating human resources.