Machine learning is a sub-area within artificial intelligence that aims to develop programmes and systems which can adapt to resolve complex problems through available data and experience rather than rules and instructions. The algorithms and methods used within machine learning are data-driven and based upon statistical calculations. For systems developed with machine learning, such as ours, the more data that there is available to train the algorithms, the better equipped the system is to resolve tasks.
A bit like spaghetti and tomato sauce we cannot have machine learning without algorithms! But, even though we might hear these phrases often you are definitely not alone if you find yourself wondering exactly what people mean when they refer to them.
So what are algorithms and how on earth can they be trained to determine reading attainment?
Find out more by reading the Lexplore blog…
AI, ML, and Tomato Sauce!