There are various applications of machine learning these days also there are various future trends of machine learning. We share few examples of machine learning that we use everyday and have no idea that they are driven by machine learning such as-
4.1.Virtual
Personal Assistants
There
are various virtual assistance that we are using these days some of them are
Siri, Alexa, Google Assistant, Cortana etc. their jobs are to assist the user
and help the user in finding various information, whenever asked.
Machine
learning is an important part of these virtual assistants as they collect and
polished the information on the basis of previous experience.
Later,
this set of data is used to generate results that are modify according to our
preference.
4.2.Video
surveillance
The
video surveillance these days are running with the concept of AI
that
makes it possible to detect crime before they happen. They just track or keep
their eye on unusual behaviour of people like standing motionless for very long
time, stumbling etc. The system can give alert to attendants, which can help to
avoid any kind of mishaps. And when such activities are reported and considered
as true, they help to improve the video surveillance services.
4.3.Social
Media Services
Social
media are frequently using machine learning for their own and user benefit.
There are many features that we are using on our social media accounts, without
knowing that these features are just applications of machine learning.
For
examples numerous people are using Facebook, number of features
aretheir
in Facebook such as-
·
People You May Know:
Machine learning
works on concept that is learning with experience.
Facebook
observes the friend that we are connected with, the profiles of users we visit
very often, group that we share with others users etc. on the basis of
continuous observation, a list of Facebook users are suggested that we can
become friend with.
·
Face Recognition:
Whenever we upload our
picture with a friend, Facebook instantly recognise our friend. Facebook
observes the unique features, and then match them with the people in our friend
list.
Another
application of machine learning are -
4.4.Chatbots:
These
bots tend to extract information from the website and present it to the
customers. The chatbots advances with time they understand the user queries
better and serve them with better answers this is possible due to its machine
learning algorithms.
4.5.Search engines
result:
There
are various search engines nowadays such as google, yahoo etc. that improves
the search result for us. Suppose we open the top results and stay on the web
page for long time, the search engines conclude that the result it displayed
satisfies the user. Likewise, if we reach the second or third page of search
result but do not open any of the result, the search engine assume that the
results displayed did not match the required result, user was expecting.
4.6.Online fraud
detection:
Machine learning taking various steps to avoid
online frauds. For example -Paypal is using ML for protection against money
laundering. The company uses software that help them to contrast millions of
transactions taking place and differentiate between legal and illegal
transactions taking place.
Comments
Post a Comment