What is machine learning or automatic learning?
Today's Artificial Intelligence has far exceeded the hype. Developers take advantage of this to devise new machine learning models and retrain existing models for better results.
As technology progresses and humanity increases, so does the number of information produced. Analyzing and classifying this data can be time consuming. However this has begun to change with something called Machine Learning or machine learning, this technological model allows programs to learn and implement improvements on their own. It may be a little known fact, but over the years, machine learning tools have evolved to the point where almost anyone with little handling and effort can press a button and turn on a machine on the go. way to learn something valuable.
Exemplary how it works: if you create a program that learns to differentiate between oranges and pears. First of all, we give you images with previously identified fruits (labels), the program will inquire about patterns and have them stored in a memory, in this way, you can use these memories or "memories" to use them at any time you need them with another symbol reaching the conclusion of what it contains.
Machine learning is applied today in multiple applications
Believe it or not, you probably interact with machine learning applications on a day-to-day basis. Having ideas of what personal tastes or inclinations are, various applications, such as social networks, use this type of technology to specify which publications are more related, in the same way as browsers, to optimize the precision of search results.
In various fields, such as medicine, they are used to forecast life expectancy, put in order confidential patient information, even organize confidential data or determine various diseases.
But there is always the fear that this new technology will affect the job market, as has happened on other occasions with other technologies. However, this could be transformed depending on each company.
But the tools are not yet smart enough to do all that learning for individuals. You have to ask the right questions and look in the right places.