Machine learning forces beginners to constantly choose between a multitude of micro-alternatives on the way to solving a big analytical problem. This actively developing technological direction may seem too complicated and even frightening. And there are reasons for this. The most obvious among them is the need for high qualification and possession of expertise for the development and implementation of algorithms. Nowadays, companies are beginning to understand that the deep technical knowledge and experience is not enough for competent and effective use of machine learning technologies.
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At the stage of acquaintance with machine learning technologies, it is important to understand which tasks you are facing and which of them are capable of solving machine learning. In some cases, machine learning can help identify areas that require further study. In other cases, you can integrate machine learning algorithms directly into operating systems to automate decision making at key stages or process data in real-time. This should be taken into account when making decisions with regard to business and policies when it is necessary to understand how to apply the obtained analytics information in practice.
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