Machine learning is a method of data analysis that automates the construction of analytical models. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.
Uses of Machine Learning
You can use machine learning or also known as Machine Learning for the following situations:
- Automating the identification of patterns.
- Automating the identification of trends by analysing data.
- Processing large volumes of data
Machine Learning and Artificial Intelligence
Machine learning is a branch within Artificial Intelligence (AI) that provides systems with the ability to learn and improve automatically, based on experience. These systems transform data into information, and with this information they can make decisions. An indispensable ability to make systems capable of identifying patterns in the data to make predictions.
Most popular applications
- Personalised recommendations or suggestions
- Intelligent cars
- Social Networks (Twitter)
- Natural Language Processing (NLP)
- Search engines
- Early detection of cancer
Machine learning has become a strategic tool for any sector.
In short, machine learning is a master of pattern recognition, and is capable of turning a sample of data into a computer programme capable of drawing inferences from new data sets for which it has not been previously trained.
Machine learning is a powerful tool that converts data into information and facilitates decision-making.
The key is to clearly and concisely define the objective of the learning process so that, depending on the characteristics of the data set we have, we can select the type of learning that is best suited to provide a solution that responds to the needs.