The term Machine Learning became popular in the past years with the increase of published papers and more visibility in the media and in the internet.But what exactly is this word? We will discuss briefly its meaning.
This is my second article and english is not my first language. So sorry for mistakes in english.
There are a lot of concept about Machine Learning, but we will use this:
Machine Learning is the science of programming computers so they can learn from data
Basically, It involves creating creating mathematical models to help understand data. The word “Learning” enters because we feed model with data and find patterns and information, it learns from the observed data. Once they learn it, it can be used to understand and predict information of new data.
You may think this look likes futuristic. But, in fact , it is already reality and is near of you than you think. It has been around for decades in specialization tasks. But the first time that a Machine learning turned into something that can change million of life was around 90’s : The filter spam. Now there are millions of application that is in our day-by-day and we don’t know.
Machine learning can be divided into 2 types: supervised learning and unsupervised learning.
Supervised learning: is when we have measured features of the data and labels that classify this data. When the model is build, it can give labels to new and unknown data (classify the data). It is further subdivided into classification(such as Naive Bayes Classification) and regression tasks(such as Linear Regression).
Unsupervised Learning: is when we have measured features of data but don’t have labels that classify this data. “The dataset say by itself”. The model have to analyze the data and find information that distinguish one data from another. It is subdivided into clustering(K-means) and dimensionality reduction(Principal Component Analysis) tasks.
Algorithms of Machine learning are widely used in business like stock exchange and companies like Netflix, Amazon and, Tesla because they can solve complexity problems quickly. They can find informations, problems and, solutions that are nearly impossible for humans to find.
According to LinkedIn there are 121.949 worldwide jobs that list machine learning as a required skill. Market Research Future said that The global machine learning market is projected to grow from $7.3B in 2020 to $30.6B in 2024.
It is no doubt that Machine Learning is a real thing and is important to understand this technology. This was a brief article, but I am looking for dive into this topic and talk about some of the algorithms that was mentioned before.
I hope you enjoyed and feel free to comment anything.
See you later!