There are two ways machine intelligence can be part of your applications.
As a Service:
Machine intelligence requires three ingredients: computing power, algorithms, and data. If you’re new to business, i would suggest not to invest in researching these topics or building a team, instead focus on application development using machine intelligence API from companies like Microsoft, IBM, Google, Amazon, and others.
Find the detailed comparison for Machine Learning as a Service here.
A branch of computer science dealing with the simulation of intelligent behavior in computers using human behavior such as visual perception, speech recognition, decision-making, and translation between languages. .
Basic approach of Machine learning is solving problems using algorithms in three steps “parse data”, “learn from it”, and “make a determination or prediction about something”.
Deep learning is a sub-set of machine learning with better accuracy. Deep learning structures algorithms in layers to create an “artificial neural network” that can learn and make intelligent decisions on its own.