Machine Learning and Artificial Intelligence are creating a huge buzz worldwide. The plethora of applications in Artificial Intelligence has changed the face of technology. These terms Machine Learning and Artificial Intelligence are often used interchangeably. However, there is a stark difference between the two that is still unknown to the industry professionals.
Let’s start by taking an example of Virtual Personal Assistants who have been familiar to most of us from quite some time now.
Working of Virtual Personal Assistants –
Siri(part of Apple Inc.’s iOS, watchOS, macOS, and tvOS operating systems), Google Now (a feature of Google Search offering predictive cards with information and daily updates in the Google app for Android and iOS.), Cortana (Cortana is a virtual assistant created by Microsoft for Windows 10) are intelligent digital personal assistants on the platforms like iOS, Android and Windows respectively. To put it plainly, they help to find relevant information when requested using voice. For instance, for answering queries like ‘What’s the temperature today?’ or ‘What is the way to the nearest supermarket’ etc. and the assistant will react by searching information, transferring that information from the phone or sending commands to various other applications.
AI is critical in these applications, as they gather data on the user’s request and utilize that data to perceive speech in a better manner and serve the user with answers that are customized to his inclination. Microsoft says that Cortana “consistently finds out about its user” and that it will, in the end, build up the capacity to anticipate users’ needs and cater to them. Virtual assistants process a tremendous measure of information from an assortment of sources to find out about users and be more compelling in helping them arrange and track their data. Machine learning is a vital part of these personal assistants as they gather and refine the data based on the user’s past participation with them. Thereon, this arrangement of information is used to render results that are custom-made to user’s inclinations.
Roughly speaking, Artificial Intelligence (AI) is when a computer algorithm does intelligent work. On the other hand, Machine Learning is a part of AI that learns from the data that also involves the information gathered from the previous experiences and allows the computer program to change its behavior accordingly. Artificial Intelligence is the superset of Machine Learning i.e. all the Machine Learning is Artificial Intelligence but not all the AI is Machine Learning.
