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| valery | 08 Nov 2023 - 20:22:41 |
| 144 Posts |
Machine Learning (ML) is a subsection of artificial intelligence that focuses on creating algorithms and models that allow computers to learn and make decisions from data, without explicit programming. It provides systems with the ability to automatically improve their performance as they learn from new data. Machine learning is used in a variety of fields including: Natural Language Processing (NLP): Machine learning servreality.com is used to analyze and understand human speech, enabling automatic translation systems, chatbots, text analysis, and other applications. Computer Vision: ML allows computers to analyze and understand images and videos. This is used, for example, in facial recognition systems, image-based medical diagnostics, and in autonomous cars to recognize the environment. Recommendation systems: Machine learning is used to create personalized recommendations in online services such as streaming platforms, online stores, and social networks. Medicine: ML is used to analyze medical data and images, helping in the diagnosis and prediction of diseases, as well as in the development of drugs and treatments. Finance: In finance, machine learning is used to analyze markets, predict stock prices, detect fraud, and manage portfolios. Industry: ML is used to optimize manufacturing processes, maintain equipment, analyze big data, and make operational decisions. Transportation and Logistics: ML helps in autonomous transportation management, routing, inventory management and other aspects of logistics. Education: Machine learning can be used to personalize educational programs and assess student performance. Machine learning is becoming an increasingly common and important tool in various fields due to its ability to adapt to changing data and tasks. It opens up new opportunities to automate and improve processes in various sectors of the economy. |
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