According to Stuart Russell and Peter Norvig , computer science experts, there are different types of artificial intelligence, one of them is Machine Learning, which was born from pattern recognition and the theory that computers can learn without being programmed to perform specific tasks.
While many machine learning algorithms have been around for a long time, the ability to automatically apply complex mathematical calculations to big data over and over again, ever list of equatorial guinea consumer email faster, is a recent development. Taking this one step further is deep learning, a concept within machine learning that works differently.
Curious? In this post we explain what machine learning is , the difference between machine learning and deep learning , and how these techniques can help improve your business performance.
What is Machine Learning?
To understand the difference between Machine Learning and Deep Learning, it is necessary to know their definitions, applications, and how they relate.
Machine learning (ML) is an application of artificial intelligence in which computer programs use algorithms to find patterns in data . They can do this without being specifically programmed to do so, without relying on humans. In today's world, machine learning algorithms are behind almost every technological advancement and AI application on the market. Some examples are:
when your email provider recognizes an email as spam;
when search engines recognize your voice accurately enough to generate titles for a YouTube video;
when social networks recommend friends, groups and videos to you;
when GPS anticipates which parts of your route will have a lot of traffic and reroutes you using machine learning algorithms;
Why is machine learning important?
The benefits of applying artificial intelligence in companies were analyzed in a Deloitte study called: “The state of artificial intelligence in companies.” This study revealed that 82% of respondents perceived gains in terms of financial return as a result of their investments in AI.
Machine learning makes it possible to quickly and automatically produce models that can analyze larger and more complex data and deliver faster and more accurate results, even at scale . In addition, by creating accurate models, an organization has a better chance of identifying profitable opportunities or avoiding unknown risks.
By using algorithms to build models that uncover connections, organizations can make better decisions without human intervention.
What is Deep Learning?
Deep Learning (DL) is part of Machine Learning. In fact, it can be described as the new evolution of machine learning. It is an automatic algorithm that imitates human perception inspired by our brain and the connection between neurons. This is why Applied Artificial Intelligence has been a hot topic in recent years and its innovation mechanisms are increasingly being investigated. In this case, Deep Learning is the technique that comes closest to the way humans learn.
The use of Deep Learning is not so far from our daily lives. A good example is facial recognition to unlock smartphone screens. The police use the same principle to recognize fugitives and wanted persons.
Voice assistants like Google Assistant, Cortana, Alexa and Siri also have Deep Learning as the basis of their creations.
In social media, the concept is applied by platforms to analyze user interactions and behaviors and improve suggested offers and content.
Now, what is the difference between Machine Learning and Deep Learning? In the following paragraph we explain the main differences between these two Artificial Intelligence methods.
