What is Machine Learning also known as ML?
ML or as we call it ML is a subset of Artificial Intelligence (AI). ML uses algorithms in order to interpret data and information and provide a predictive outcome, without being explicitly programmed to do so.
AI and ML are often confused with one another, however, they have key differences. Where AI is designed to imitate the decision making of a human, based on instructions – ML is designed to learn from the data it is given to perform certain tasks or predict certain outcomes.
There are 3 types of Machine Learning:
There are many uses for ML today, especially with the access we have to big data (because the more data you provide to the machine, the better the output is). Some real-world applications for ML include Customer Relationship Management, Image Analysis and object detection, Speech Recognition, Self-Driving Cars, Fraud Detection, Computer Vision, Virtual Assistants, Chatbots, Medical Imaging and Diagnostics, and even Automated Stock Trading (among many more).
Machine Learning is often used alongside Artificial Intelligence. It allows machines to “learn” based on the data it is given, performing tasks or predicting outcomes, without being explicitly programmed to do so. With 3 different methods to ML, there are many ways it can be utilised for your business, to improve the quality and use of big data, and accomplish things we as humans cannot.