Machine Learning - What it is and Why it is so Important?

1. MACHINE
LEARNING –
WHAT IT IS AND
WHY IS IT SO
IMPORTANT?
--
Sunil Jagani

2. In the simplest terms,
Machine Learning is
all about ability of
a machine to learn.

3. In a broader sense, Machine Learning is a type of
Artificial Intelligence that automates the analytical
capacities of a machine and enable it to learn, discover
predict, and improve without being explicitly
programmed.

4. The automation is initiated with the help of
algorithms. Algorithms are one of the many key tools
that our electronic devices use to interact with the
user and give successful responses.
When you feed an input to a computer, a distinct
algorithm runs in the background at lightning fast
speed to give you an output relevant to the topic.

5. For instance, one
type of algorithm
could be a classification
algorithm . The image
here describes how
the classification that
is used to identify
handwritten numbers
is also able to differentiae
between spam and
not-spam emails.

6.  Self-Driving Google Car
 Online Recommendation Offers – ads and offers that
suits your search behavior
 Linguistic Rule Creations – such as in Twitter, where
you can know what your customers are saying about
you
 Fraud Detection

7. It’s quite ingenious that instead of relying on a source to
solve a problem, the machine learns by itself how to
solve the problem.

8. Machine learning has the
potential to change the
world. Many successful
applications of machine
learning exists today. From
business to ecommerce and science
to information technology, the concept
is making dramatic improvements.

9. Machine learning is an incredibly advanced
application that would have plenty of benefits in the
current world.
Computational processing will be cheaper and will
require less data storage.

10. 1. By Allowing people to do things more quickly
and efficiently.

11. 2.Machine learning
has been helping
Virtual Assistant
solutions to perform
better and automate
tasks that would
otherwise require
a human agent

12. 3. Machine learning with everyday wearable devices can
help in many ways. One best example could be faster
diagnosis of patients at low cost.

13. Machine4. Gleaning insights,
Often in realtime, to
gain an advantage
over competitors

14. Machine learning has come really far, but there is still
long way to go. The capacities of a machine are still
limited by human control. However, the blend of
artificial and true human intelligence to deliver
accurate results is not going to take long.