There are three components of machine learning (ML):
Data. If we want to predict the weather, we need a summary of the weather for the last few years (the more the better). We want to identify spam, we need examples of such emails. The better the data, the more efficiently the program will work.
Signs. It is a set of properties, characteristics or attributes that describe our model. If we are talking about the weather, then this is the temperature, wind speed, season. In the case of spam, these are senders, subject lines, specific phrases and images. Correctly selected features are the key to successful learning.
Algorithm. Everything is simple here. Each task can be solved in different ways. For different purposes, you can choose different algorithms.
The main thing in using ml consulting is that these specialists will offer customers solutions based on machine learning methods (ML, machine learning) and tools for managing Big Data.
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