Introduction to Machine Learning

Before jumping directly into what is Machine Learning lets starts with the meaning of individual words i.e. What is Machine and What is Learning.

• A machine is a tool containing one or more parts that transform energy. Machines are usually powered by chemical, thermal, or electrical means, and are often motorized.
• Learning is the ability to improve behaviour based on Experience.

What is Machine Learning? :-

According to Tom Mitchell, Machine Learning is
“A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E”
Here,

• Task T is what machine is seeking to improve. It can be Prediction, Classification, Clustering etc.
• Experience E can be training data or input data through which Machine try to learn.
• Performance P can be some factor like improvements accuracy or new skills that Machine was previously unaware about of etc.

Machine Learning itself contains 2 main components the Learner and the Reasoner.

• Input/ Experience is given to the Learner that learn some new skills out of it.
• Background Knowledge can also be given to Learner for better learning.
• With the help of Input and Background, Knowledge Learner generates the Model.
• The model contains the information about how he has learnt from the Input and Experience.
• Now, the Problem/ task is given to Reasoner it can be Prediction, Classification etc.
• With the help of trained Model Reasonar tries to generate the Solution.
• Solution / Answer can be improved with adding additional input/ Experience Background knowledge.

How Machine Learning different from Standard Program? :-

In machine learning, you feed the computer the following things

• Input [Experience]
• Output [output corresponding to inputs]

And get Model/ Program as Output. With the help of this program, you can perform some tasks.

Whereas In Standard Program you feed the computer following things

• Input
• Program [how to process the input]

And get the Output a simple example can be to verify a number of Prime or not.

REFRENCES :- Machine Learning By Tom Michell