About Machine Learning

ml.txt

What is Machine Learning(ML)?

Machine Learning is the field of study that gives computers the capability to learn without being explicitly programmed. 
ML is one of the most exciting technologies that one would have ever come across. As it is evident from the name, it gives the computer
that makes it more similar to humans: The ability to learn. Machine learning is actively being used today, perhaps in many more places 
than one would expect.

Who is using it?

-Financial Services
-Health Care
-Government(Government agencies utilises this)
-Retail(Eg:In online shoping sites.)
-oil and gases (For finding mineral ores )
-Transportation

Machine learning algorithms are used in a wide variety of applications, such as email filtering and computer vision, 
where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks.

What are the different approaches in Machine learning?

-Supervised learning: The computer is presented with example inputs and their desired outputs, given by a "teacher", and the goal is to
 learn a general rule that maps inputs to outputs.
-Unsupervised learning:No labels are given to the learning algorithm, leaving it on its own to find structure in its input.
 Unsupervised learning can be a goal in itself
-Reinforcement learning:A computer program interacts with a dynamic environment in which it must perform a certain goal (such as driving
 a vehicle or playing a game against an opponent). 
 As it navigates its problem space, the program is provided feedback that's analogous to rewards, which it tries to maximize.[3]