Various types of machines brought into the life cycle by coding provide convenience in various areas of life. Incredible advances in both the field of algorithms and artificial intelligence have already begun to open the doors of a different world in order to carry the changing life practices with coding and programming to much different stages. It should be stated that; Artificial intelligence and data analytics concepts are among the issues that need to be considered together. In order to have an idea about these, some things that should be known should be mentioned. There are multiple reasons that make artificial intelligence important to us. However, we will focus on a limited area for the time being, such as data processing, so that the content is suitable for its purpose. As it is known, data and the processing of this data are important for institutions. Obtaining results from which logical and important decisions can be made with the data obtained in the past and now or to be obtained in the future makes a very important contribution to the strategies and functioning of the institution. Artificial intelligence and data analytics software that will make a great contribution to this process are among the indispensable elements of data science.
Artificial intelligence studies are getting more and more surprising developments day by day, and with approaches and algorithms in this field, analyzes that will work in many ways can be made. In this respect, it is possible to define artificial intelligence as follows; It can express the ability to perform functions such as perception, application and communication like normal living things, and can provide data with calculations made with a systematic set of modern formulas or applications such as data analytics. The discipline model used to obtain them is called data science. Concepts such as machine learning that meet the upper levels of artificial intelligence are also very different from classical programming systems. Another sub-branch of the machine learning model, which includes features such as interpretation, self-development and learning, is the deep learning model. These approaches are capable of eliminating the risks in business processes while providing institutions and organizations with many capabilities.
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