Artificial Intelligence Machine learning Deep learning Argility

Algorithms that parse data, learn from that data, and then apply what they've learned to make informed decisions. I'm sure you are asking yourself, how can a program or algorithm make decisions and learn from data, doesn't every program need to be programmed? Not if the program was trained to learn from and adapt to data. In the case of machine learning the algorithm is not explicitly programmed, rather the model is "trained" using historical and present data in order to make future decisions and prediction. The more data available for training, the more accurate the predictions are.