MACHINE LEARNING: START WITH MACHINE LEARNING with all new tips tricks 2020.Understand how machine learning can help by Beattie Guy

Author:Beattie, Guy [Beattie, Guy]
Language: eng
Format: epub, azw3
Published: 2020-07-27T00:00:00+00:00

Learning associations

The final application we'll be focusing on when it comes to machine learning is known as the learning partnership. This is the process of trying to develop a good vision of the association between the different product groups you have. There will be several products responsible for revealing this association, although the two products or variables appear to be completely independent. This type of algorithm is useful because it takes into account customers' buying habits to understand the best present associations.

One of these types of learning associations that you can use is known as basketball analysis. In particular, this will deal with the study of the association between products purchased from different customers. It is a type of application that works well by showing us how machine learning works.

With this, suppose our customer A purchased product X. Based on this purchase, we will use machine learning options to identify whether to buy product Y based on how these two products are associated with each other.

If you have a new product hitting the market, the association that existed between previously existing products will also change. Sometimes it will change a little, sometimes the products are not very related to the new ones, and their association will not change much. If you already know the relationships between the various products, they can examine and identify the right product to recommend to your customers.

And this is also one of the reasons why many companies are happy to present their products in pairs rather than individually. It helps them promote two products and make a more significant sale by predicting their customers' needs in advance and, therefore, meeting them. If the customer sees two related products that go together and launch at the same time, they are more likely to buy both products together, knowing that they go along and increase the purchasing power and capital.

Big Data analysts regularly work with machine learning to understand what relationship exists when it comes to different products from the same company. Algorithms can often use the idea of ​​ probability and statistics, as we said earlier, to help establish the relationship that is present in these products and help the company understand what other products the customer is likely to buy after who buys the First.

As you can see here, there are several ways that machine learning can be used. And it can be used in a wide variety of different industries and in many ways. Whether you use it to recommend products to a customer, use it to make some predictions, or for some other reason, you will find the things machine learning is already capable of and the applications that can probably do this. in the future it is already quite surprising.

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