What is Machine Learning definition/concept

Machines are capable of learning. But that doesn’t take the dream away from the apocalyptic visions of a world dominated by robots that have enslaved or exterminated humans after “learning too much”. And let’s not wander. Machine Learning

Machine learning consists of a computing discipline , which through artificial intelligence algorithms , computational systems are capable of simulating the human learning process, solving situations and challenges that had not been previously programmed.

Historically, computers had been unable to do anything more than what they were programmed to do, but with the gradual increase in hardware capacity, it allowed them to go further, accompanied by software algorithms.

How can you learn a machine?

The learning process of a computer system is based on the analysis of large amounts of data.

What the software does in general is to build predictive models based on data analysis, even without modifying its own programming, something that the machines are not yet prepared to do.

However, in a conceptual way, we can consider that the construction of models is a kind of modification of its base programming, although in terms of source code it is not really like that.

Machine learning or machine learning is a branch of the artificial intelligence discipline.

Finally, let’s give some examples of the use of machine learning, starting with a stock exchange investment system.

It is able to analyze the ups and downs in stock prices, without having been previously programmed to predict a certain scenario, through the analysis of a large number of factors (stock prices of other companies, comings and goings in the market, investments made by others, etc.) can calculate when it will be most suitable to buy and/or sell certain securities.

And what is usually most important in these systems is that they are able to analyze their own performance and “learn” from their successes and mistakes, “improving” their ” performance ” over time.

In fact, I didn’t choose this example because I did, but because today most stock exchange transactions are carried out by computer programs of this type.

We can enjoy the benefits of machine learning on a streaming music service like Spotify

Is it true that when we listen to music on Spotify (or possibly other online services of this type), the program recommends other groups or songs according to what we listen to? And isn’t it true that these recommendations evolve as our music consumption habits on the service vary?

How can Spotify and other online music services do this? Simple: with a machine learning system, learning what we like and recommend us feature it.

And the more music and the longer we listen, the more the system learns about our preferences, so the greater the chances of getting your suggestions right.

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