Machine learning (ML) is the study of computer algorithms that improve automatically through experience.
Machine learning algorithms build a mathematical
model based on sample data, known as "training data", in order to make predictions or decisions without being
explicitly programmed to do so.Machine learning algorithms are used in a wide variety of applications,
such as email filtering and computer vision,
where it is difficult or infeasible to develop conventional algorithms to perform the needed tasks.
Machine learning is taking over the world - it is benefiting companies across industries.
It is helping organisations create systems that can understand, learn, predict, adapt and operate on their own.
Thus, understanding how machine learning works is one of the most valuable and useful things you can do
future of Machine learning
Google says machine learning is the future.
The world is quietly being reshaped by machinelearning.
We no longer need to teach computers how to perform complex tasks
like image recognition or text translation: instead,
we build systems that let them learn how to do it themselves.
Increased use of robots to carry out business operations will be a major use of ML in 2020. Robots use
machine learning algorithms to perform tasks. Since, robots execute tasks in a faster manner,
hence businesses across the globe are adopting robotic techniques to increase their productivity
Author : Mohammed Abdulla