It’s hard to escape the buzz around machine learning. Practically every industry is talking about it.

So, what is machine learning? According to Hewlett Packard, “Machine learning refers to the process by which computers develop pattern recognition, or the ability to continuously learn from and make predictions based on data, then make adjustments without being specifically programmed to do so.” In other words, it’s a way for machines to analyze and act on large volumes of information and continue to learn and improve over time.

Related: The Learning Landscape for 2019

For an example of machine learning algorithms in action, let’s consider facial recognition -- an area we’re seeing improve by the day. Today, iPhone users unlock their phones with their faces. Law enforcement uses facial recognition to spot fraud activity and catch criminals. Google Photos allows users to sort photos by the people within them. These algorithms may not have been incredibly accurate in the past, but they have been trained over time with machine learning.