"Understanding Machine Learning: Definition, History and Importance"

Machine learning is a part of artificial intelligence which is enabled with the capability to imitate human behavior and intelligence. It has added vast advantage to human by advancing the workspace features in industries.

This article is to make you understand machine learning, its history and Importance.

What Is Machine Learning?

is computed to perform complex tasks in a way that is similar to how humans solve complex issues. It is also the development of computer algorithms that improve automatically through experience and the use of data.

In simpler form, machine learning is a part of technology that is currently at the forefront of digital transformation and technological innovation that helps computers to learn data and make decisions without being programmed to do so.

History Of Machine Learning

Machine learning is traced back to the early 1990s when human desire and effort to study human cognitive processes kicked off.

The history is associated with Arthur Samuel, an American pioneer in computer gaming and artificial intelligence. Samuel's expertise in the 1950s and 1960s marked the birth of machine learning as a distinct field of study. He coined the phrase “machine learning” in 1952.

Importance Of Machine Learning

Machine Learning has made a great Impact recently thereby reducing workload and enhancing productivity. The importance of machine learning is;

AUTOMATION: This is the use of technology or machines to perform tasks or complex duties without much help from human intervention. The approach tries to streamline processes, enhance productivity and speed thereby reducing human error…

HEALTHCARE: Machine learning can be used by medical professionals to develop better medical tools. It can also give medical advice to patients and as well serve as a doctor to them.

ACCURACY: Machine learning models can be equipped to make highly error-free predictions based on historical facts, which can be used to make informed decisions and enhance productivity and processes.