What Is Machine Learning?

Machine Learning concept with ai icons
Filed under - Definitions, ,

Machine learning is the technical process that happens behind the scenes to help computers and algorithms learn.

When a call centre uses sentiment analysis software to detect customer emotion as they speak with a representative, machine learning processes continuously monitor the conversation to learn more about what constitutes a positive or negative emotion.

People can train these algorithms to become better at doing what they do. Sentiment analysis platforms work behind the scenes during customer conversations, but humans can use tagging, alerts, and other tools to make the platform drill down into elements of conversations the company wants to highlight.

Similarly, data analysts can update and tweak machine learning systems for continued improvements.

Of course, with its advantages come a few disadvantages, as artificial intelligence has far to go to become perfect.

For instance, it can be exceptionally difficult for an algorithm to distinguish between positive and negative tones. While most people understand sarcasm with verbal speech, machine learning models might view a sentence as positive when it was intended to be negative.

Thanks to CallMiner

Author: Robyn Coppell

Published On: 28th Jul 2023
Read more about - Definitions, ,

Follow Us on LinkedIn

Recommended Articles

Artificial Intelligence vs. Machine Learning vs. Deep Learning
A silhouette of virtual human on handwritten equations - machine and ai learning concept
Sentiment Analysis & Machine Learning: 2023 Guide
Illustration of people analysing customer sentiment
Lexicon vs. Machine Learning Sentiment Analysis
Robot talking on the phone
An Introduction to… Machine Customers