Machine Learning
Machine learning (ML) is a field of computer science that focuses on training algorithms to recognize patterns and make decisions based on data. It powers many modern technologies, from personalized recommendations and voice assistants to fraud detection and autonomous vehicles.
ML is categorized into types like supervised learning, unsupervised learning, and reinforcement learning. These models are trained using real-world data to predict outcomes, classify information, or find insights. Neural networks and deep learning methods are often used for more complex tasks like image recognition or natural language understanding.
The accuracy of a machine learning model depends on the quality of the data and the relevance of selected features. As more data becomes available, models can be retrained to improve performance. Machine learning plays a central role in AI and automation, helping businesses make smarter decisions at scale. It’s widely used in industries such as healthcare, finance, marketing, and logistics.
ML is categorized into types like supervised learning, unsupervised learning, and reinforcement learning. These models are trained using real-world data to predict outcomes, classify information, or find insights. Neural networks and deep learning methods are often used for more complex tasks like image recognition or natural language understanding.
The accuracy of a machine learning model depends on the quality of the data and the relevance of selected features. As more data becomes available, models can be retrained to improve performance. Machine learning plays a central role in AI and automation, helping businesses make smarter decisions at scale. It’s widely used in industries such as healthcare, finance, marketing, and logistics.
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