Machine Learning Technology Overview

Machine Learning is used in most critical applications, such as data mining, natural language processing, image recognition, and expert systems.In simple terms, Machine Learning solves those problems that cannot be solved by numerical means alone.

What is Machine Learning?

In simple terms, Machine Learning training is the ability of the system to learn something without beign explicitly programmed.

Why is it matters? 

Through Machine Learning it is possible to quickly and automatically produce models that can analyze bigger, more complex data and deliver faster with more accurate results even on a very large scale. And by building these type of precise models, an organization has a better chance of identifying profitable opportunities to grow by avoiding unknown risks.

Where is it used?

Few examples of machine learning applications you may be familiar with-

* self-driving Google car

* Online recommendation offers from Amazon

* Quill.org–a writing instruction platform for schools making automated corrections on the errors made by students in writing like false word they type, comma misplaced, inappropriate conjunctions made etc.

* Malware file detection by Kaspersky

* Fraud detection by PayPal.

* In 2014, the algorithm has been applied in Art History to study fine art paintings,and revealed unrecognized influences between artists.

When do we use it?

When we want something to automatically apply on the complex mathematical calculations to analyse big data – over and over, faster and faster such that they produce reliable, repeatable results to make our decisions easy. 

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Created on Nov 28th 2017 04:39. Viewed 556 times.

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