Over time, the computer may be able to recognize that ‘fruit’ is a type of food even if you stop labeling your data. Once programmed, a computer can take in new data indefinitely, sorting and acting on it without the need for further human intervention. This form of ‘structured’ data is very easy for computers to work with, and the benefits are obvious (It’s no coincidence that one of the most important data programming languages is called ‘ structured query language’).

You might create a category column in Excel called ‘food’, and have row entries such as ‘fruit’ or ‘meat’. Think of ‘structured data’ as data inputs you can put in columns and rows. Machine Learning is a subset of artificial intelligence focusing on a specific goal: setting computers up to be able to perform tasks without the need for explicit programming.Ĭomputers are fed structured data (in most cases) and ‘learn’ to become better at evaluating and acting on that data over time. Computers excel at applying rules and executing tasks, but sometimes a relatively straightforward ‘action’ for a person might be extremely complex for a computer.įor example, carrying a tray of drinks through a crowded bar and serving them to the correct customer is something servers do every day, but it is a complex exercise in decision making and based on a high volume of data being transmitted between neurons in the human brain.Ĭomputers aren’t there yet, but machine learning and deep learning are steps towards a key element of this goal: analyzing large volumes of data and making decisions/predictions based on it with as little human intervention as possible. This may sound simple, but no existing computer begins to match the complexities of human intelligence. Machine learning requires less computing power deep learning typically needs less ongoing human intervention.ĭeep learning can analyze images, videos, and unstructured data in ways machine learning can’t easily do.Įvery industry will have career paths that involve machine and deep learning.Īrtificial Intelligence (AI) is a science devoted to making machines think and act like humans. Machine learning is about computers being able to think and act with less human intervention deep learning is about computers learning to think using structures modeled on the human brain. Deep learning is a type of machine learning, which is a subset of artificial intelligence.