Practically every industry is talking about it.
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.
For an example of machine learning algorithms in action, let’s consider facial recognition -- an area we’re seeing improve by the day.
Google Photos allows users to sort photos by the people within them.
And machine learning-driven recommendations are not limited to products and content.
Using machine learning in this way allows you to create a relevant site or email experience that shows visitors that you truly understand them and helps them find the things they like.