Inteligencia artificial aplicada en negocios de hoy

How machine learning works

Some of the most used examples of artificial intelligence include technology such as:

Machine learning is the basis of most artificial intelligence solutions.

So how do machines learn?

The answer is: from the data. In today’s world, huge volumes of data are created in the course of everyday life. Massive amounts of information are generated from text messages, emails and social media posts to which photos and videos taken on phones are sent. Millions of sensors create even more data in homes, cars, cities, public transportation infrastructure and factories.

Data scientists can use all that data to train Machine Learning models that can make predictions and inferences based on the relationships they find in the data.

Solve questions like: Grow more and with less waste?

Description of anomaly detection

Imagine creating a software system to monitor credit card transactions and detect unusual usage patterns that could indicate fraud. Or, an application that tracks activity on an automated production line and identifies errors. Or, a race car telemetry system that uses sensors to proactively warn engineers of potential mechanical errors before they occur.

These types of scenarios can be solved using anomaly detection, a machine learning-based technique that analyzes data over time and identifies unusual changes.

Now it will be seen how anomaly detection could help in the race car scenario.

1. The car’s sensors collect telemetry data, such as engine revolutions, brake temperature, etc.
2. An anomaly detection model is trained to understand the expected fluctuations in telemetry measurements over time.
3. If a measurement occurs outside the expected normal range, the model reports an anomaly, which can be used to alert the race engineer, who will call the driver to make a stop and fix the problem before he has to quit.