Anjuum Khanna - Machine Learning
                     Machine Learning
Anjuum Khanna, India
● I, Anjuum Khanna, would give some insights on what 
Machine Learning. 
● In simpler words machine learning is an application 
of artificial intelligence that enables the system to 
learn automatically and the best part of this 
application is you don’t need to program explicitly.
●  Anjum Khanna also defines it in a different way that 
it focuses on the development of computer 
programs that can access relevant data and use it 
learn for themselves.
● This learning process starts with data or observations 
(stated and observed), which we can provide in terms of 
examples or instruction. 
● This learning can also be gathered through direct 
experience. 
● Primary aim of machine learning is to allow computers to 
learn automatically without any human intervention or 
assistance. Machines should also adjust their actions 
accordingly.
● As per author’s definition we can also say that machine 
learning is subfield of AI. 
● We can see many examples of machine learning such as 
Siri, Netflix, Google maps, Uber etc. This can tell that how 
machine learning has upgraded our living
● We can learn more about it by knowing more about 
machine learning methods. .
Supervised Machine Learning
● It is called supervised learning because the process of an 
algorithm learning from the training dataset can be thought of 
as a teacher is supervising learning process. 
● We know the correct answers, the algorithm makes predictions 
on the basis of training data and it gets corrected by the 
teacher.
● Learning stops when the algorithm achieves an acceptable 
level in terms of performance.
Unsupervised Machine Learning
● This type of machine learning is more closely aligned with 
artificial intelligence. 
● On further analysis we can say that in this kind of machine 
learning a computer can learn to identify complex 
processes and patterns without a human guidance. 
● Although unsupervised learning is prohibitively complex 
for some simpler enterprise use cases, but it is more 
effective while we need to solve problems that humans 
normally find difficult to tackle.
Machine Learning- Usage In Applications
●  In next few years, machine learning will become part 
of almost every software application. Soon all of our 
devices will be embed with capabilities of machine 
learning. 
● After that our personal device will become personalised 
device.
Machine Learning- Usage In Service Industry
● As machine learning becomes increasingly valuable and the 
technology matures, more businesses will start using the cloud to 
offer machine learning as a service. 
● This will allow a wider range of organizations to take advantage of 
machine learning without making large hardware investments or 
training their own algorithms.
●  As in cutting throat competition personalised service is required 
in service industry and machine learning will resolve that issue.
About Me!!!!
I’am Anjuum Khanna. I’am an Indian Blogger, Writer and 
Tech Consultant.
A strategic leader with a proven track record of over 19 years 
in spearheading profitable ventures within Fintech, eCom 
Startups, BPOs, Telecom & D2H, spearheaded domestic & 
Global Business Operations with large team sizes. Championed 
change mngt. & enterprise wise automation initiatives within 
organisations in India & Middle East. Presently working as Vice 
President at Mswipe Technologies.
Visit Me: http://anjuumkhanna.in/