Many of us have heard a lot of about ML(machine learning). This determitation of the technologie connected with many things in our world about which we even have never thought before. For businesses it is very usefull tool that help to work with Big Data and do great experience for customers. Actually ML it is just math algoritms. Therefore we can divide three options of Machine learning depend on tasks that it helps to solve. The first one is bulding regression models. Having a lot of datas about customer we can predict the reasons that much more influence on customers behaviour. So, lets consider the example. I need to know how my promotions influence on increasing sales in my business. So, I aggregate information, put it in ML model and it says which factor is the most powerful. It can actually be everything. For me it is information for action. But this is not the only one. I can predict the future sales due to ML models.
Another task that ML can do is classify different objects. So, let's imagime the situation when we need to put some internet articles to the categories. To do that in hand-way it is too long and boring, so we can create the mechanism that will put articles to categories by yourself on the keys words in Articles. So, If we get new one she will be automatically distributed to the true category. And the third one is the task of clustering. When we dont know which criteria to use to divide the data. So, the ML model using differents methods can find some connections and patterns.
Amount the ML methods the most using are support vector machine(SVP), Neural networks, Log-regression. The advantages of this methods are that they have both accuracy and precious and predictable power. Have fun learnign the technologies. It is really intresting and usefull.
