Basically, machine learning is classified into two types:
Unsupervised learning;
Supervised learning.
Unsupervised learning is when the computer system receives a set of data to be trained and is able to understand how they relate to each other. As an example, we can use the demand situation we mentioned earlier.
As it is based on consumer behavior, market data, economic data, etc., the software analyzes each and every new data.
Over time, it will learn the type of problem it needs to solve, so it will be able to come to conclusions on its own. Statistical algorithms predict more accurate answers and deliver the best result with the least malta whatsapp data amount of error and human intervention as well.
Supervised learning occurs when there is human interaction, controlling the input and output of data.
“It interferes with the machine’s training, commenting on the accuracy of the predictions. Because often the results need to reflect what is happening in the market, an assessment by experts. It would be another step to improve these predictions,” says Daniel Bergmann.
For example, if you want to identify spam in an email, you need to set a rule for the algorithms. As new spam appears, these algorithms accumulate new rules, learning and identifying new types of spam.
The same happens when working with demand forecasting, financial markets and other matters, where you really need expert intervention.
Facial recognition on cell phones, for example, is an algorithm that has been trained to identify an individual's face using 20 to 30 thousand points, and all of this learning has been done basically without human intervention. This is making a big difference in generating value for companies.
Digital marketing is being channeled entirely through this type of approach, since it is possible to segment customers very well and also identify the target audience in time.
But which algorithm should you adopt as a model? Given so many possibilities, you need to study which one best meets your needs. In any case, digital transformation is here to show us that there are many tools to contribute to more accurate and assertive decision-making.
Did you enjoy learning about the types of machine learning and how artificial intelligence can make decision-making more assertive? We have many other topics on our blog about digital transformation and other topics that may be of interest to you. See you next time!