Machine Learning, the accelerator of Technological Development

The machine learning is a branch of artificial intelligence that can provide companies more towards their technological development.

Companies in the financial, telco or retail sectors are already implementing solutions based on machine learning that not only help them respond to critical challenges for their day-to-day lives , but also allow them to address new horizons with guarantees: c hatbots for customer service customer, solutions that analyze and learn from customers’ purchasing habits, systems that learn from operating patterns to predict infrastructure failures, etc.

The number of applications of machine learning for the technological development of companies is enormous. For many, in fact, it is an essential ingredient for their digital transformation to be successful. With this technology they will be able, among other things, to find a meaning to the tide of data that they get when collecting new technologies.

In this article we will analyze what machine learning consists of , the types that exist, the challenges it presents and the benefits it can bring to companies, large and small, in sectors such as retail , financial services, insurance or public administration. .

What is ‘machine learning’ ?: concept and main function

Machine learning can be defined as a branch of artificial intelligence whose purpose is to help computers think and act on their own, in the same way that humans do. For this, this science is dedicated to the training of the systems that it wants to make intelligent , through the provision of relevant data and information.

This phase, the training phase, is essential for the system to be able to make predictions in the future, and also so that it can “think” and compare the information it receives with the data it has received in its training. In this way, you can draw conclusions and predictions for the future.

Various algorithms are used so that the systems that are trained by artificial intelligence can learn and process the information supplied to them . With them, the computers and machines that are trained are not only in charge of extracting the most relevant information for those who manage the system. They will also be able to study the information to reach conclusions and make decisions. And of course, keep learning with the data that comes your way.

Types of ‘machine learning’

There are different types of machine learning algorithms. In general, they can be classified according to their learning algorithms: supervised, unsupervised, semi-supervised and reinforcement .

Supervised learning machine learning

Machine learning systems that use supervised learning algorithms are supplied with training data, labeled, containing the prediction elements and information . Afterwards, the results are shown based on the data supplied, so that from them the computer can learn the patterns that lead to them.