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Machine learning techniques and methodologies empower computer systems to automatically learn from data, identify patterns, improve performance through experience, and make data-driven predictions and decisions.
NLP-powered chatbots use machine learning algorithms to understand and generate human language in real-time, providing interactive and efficient customer support on websites and applications.
Machine learning models can be deployed to classify images in real-time, such as detecting objects or identifying faces in security systems, enhancing surveillance and image organization.
Machine learning algorithms analyze sensor data from industrial equipment in real-time, predicting potential failures and maintenance needs, which helps minimize downtime and optimize maintenance schedules.
Machine learning techniques are employed to analyze market data and predict stock price movements in real-time, enabling algorithmic trading systems to make data-driven buy and sell decisions.
Convolutional Neural Networks (CNNs)