Machine Learning

How does machine learning work?

The idea behind machine learning is that systems are able to learn from data, independently identify models and thus make decisions with minimal human intervention.

Supervised machine learning algorithms require a machine to be trained with a data set leading to a known output. The system will then be able to identify the output for data not previously processed, based on what it has learned from the known data.

With unsupervised algorithms, on the other hand, we don't start from known data but give the system an abundant amount of uncategorised data as input, leaving the machine to detect previously unidentified patterns autonomously.

Machine learning applications

To date, there are many systems that use some form of machine learning: they range from self-driving vehicles to suggestions on online shops. Machine learning is used for speech recognition systems, automatic image and video analysis, big data analysis, search engines and online advertising. Many companies, both large and small, use machine learning algorithms to improve the performance of their systems or even to support their marketing campaigns.

How can we help you introduce machine learning in your business?

We're able to implement machine learning systems in your project through the use of the most popular machine learning libraries and frameworks (TensorFlow, PyTorch, Google Cloud ML, Amazon SageMaker), choosing the platform that best suits your requirements.

We can also easily integrate third-party machine learning systems into the projects we carry out.