New technologies are revolutionizing the way we live. Now we see something common that music platforms, such as Spotify, or movies, such as Netflix, “know” us in such a way that they can make recommendations of what we will surely like to see or hear.

Behind this prediction or knowledge is machine learning . This branch of Artificial Intelligence allows machines to learn autonomously, without the need for human intervention or programming. We can also find this technology in the Siri or Alexa assistants.

What is Machine Learning and what is it for?

Machine learning or automatic learning is one of the branches of Artificial Intelligence that allows machines or systems to learn automatically , without human intervention or the need to be programmed. This is possible because a series of operations are made automatic, so we can control a greater number of information with less effort.

You ask yourself, how is it possible for a machine to learn by itself? Speaking in silver, it does not literally mean that the machine learns completely alone but that its algorithms are modified thanks to the constant input of data and information . This allows the machine to establish patterns and predict future behavior based on the information it is processing. Because these actions are performed automatically, we do not need intervention.

How does machine learning work?

Machines or algorithms learn by identifying patterns of behavior within a huge data set that will allow them to make predictions of future behavior.

The foundation of machine learning is analytics and statistics . Through a series of algorithms, an immense amount of data (Big Data) is analyzed, allowing it to find patterns. This is where machine learning takes a huge step from rule-based programming to autonomous learning from data.

Types of Machine Learning

We can differentiate three types of machine learning:

Supervised learning: What is and how to learn machine learning?

This type of machine learning is used to provide the machine with training information that allows it to generalize future responses. We do this by providing you with tagged information such as photos of animals tagged as such. In this way, in the future the machine will be able to recognize photos of animals by itself.

Unsupervised learning

In this type of learning or algorithm, labels are not used but we are faced with a chaos of information in which there are patterns that allow them to be organized in some way. We also know this learning as clustering and it resembles the human mindset.

Reinforcement learning

This algorithm or type of machine learning learns through its own experience, that is, the machine will be able to make the best decision based on trial and error mechanisms where successes are rewarded . This type is being used in many artificial intelligence systems such as facial recognition.

Difference between Machine Learning and Deep learning?

Currently, talking about Artificial Intelligence, AI or AI is the top thing in the technology sector. Within this revolutionary technology we find Machine Learning and Deep Learning (machine learning and deep learning) which are two forms of AI and, although we can confuse them, they are two different technologies that refer to the ability of machines to learn by themselves themselves.

We have already delved into the meaning of machine learning and now we enter the difference with deep learning. The Deep Learning is more complex, sophisticated and autonomous, so once programmed human intervention is minimal. Deep learning is similar to human learning by connecting neurons that transmit information.

How to learn machine learning?

The current and future possibilities of machine learning are immense and thanks to it new needs are being created for qualified profiles capable of creating new solutions related to machine learning.

If this technological revolution catches your attention and you would like to train to access a great professional opportunity with a great future, taking a machine learning course or an artificial intelligence course will open many doors and allow you to acquire all the knowledge you will need to enter to work in the sector.

Big Data, Virtualization and Machine Learning

In most machine learning courses you will need to have a prior knowledge base in programming but you will find more and more options to train in artificial intelligence and machine learning from scratch.

Postgraduate in Artificial Intelligence [PSIA]

So you can learn about deep learning, artificial intelligence, big data and machine learning. The most important thing is that you will learn to design all kinds of systems and algorithms capable of learning on their own to achieve valuable solutions for the company.