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Title: Machine Learning Models: Learning Algorithms in Crime Investigation
Authors: Заєць, Олександр Михайлович
Zaiets, Oleksandr
Kononenko, Yuri
Yeskov, Sergey
Keywords: deep learning, machine learning, artificial intelligence, crime investigation, learning algorithms.
Issue Date: 2021
Citation: Zaiets О., Kononenko Yu., Yeskov S. Machine Learning Models: Learning Algorithms in Crime Investigation // Advances in Economics, Business and Management Research,2021. volume 188. P.108 - 113.
Abstract: This article introduces machine learning, which is all around you, although you may not even know it. Thanks to machine learning, the search engine understands what results (and advertising) to display in response to your query. When you scan your mail, most of the spam passes you by because it has been filtered out by machine learning. If you decide to buy something on or watch YouTube to watch a movie, the machine learning system will helpfully offer options that you may like. With machine learning, Facebook decides what news to show you, and Twitter selects the appropriate tweets. Every time you use a computer, machine learning is involved. The only way to get the computer to do something is to write an algorithm that carefully explains to the machine what is required of it. However, machine learning algorithms guess everything themselves, drawing conclusions from the data, and the more data, the better they become. Computers don't need to be programmed; they program themselves. Artificial intelligence techniques have proven to be a promising tool in crime investigation. With the help of these methods, effective diagnostic and predictive tools can be developed to detect various crimes. In the future, artificial intelligence programs may become an integral part of the investigation of crimes. The police must be proactive in understanding theories of artificial intelligence and its usefulness in investigating crimes.
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