Priyasingh
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Sep 03, 2024
12:12 AM
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Machine learning is a subset of artificial intelligence (AI) that involves the development of algorithms and statistical models that enable computers to learn from and make predictions or decisions based on data, without being explicitly programmed to do so. In other words, machine learning algorithms use data to learn patterns and relationships within the data, which can then be used to make predictions or decisions. Visit-
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We need machine learning for several reasons:
Handling Large and Complex Data: In today's world, we generate and collect vast amounts of data. Machine learning algorithms are capable of processing and analyzing large datasets much more efficiently and accurately than humans.
Automation: Machine learning enables the automation of tasks that would be time-consuming or impossible for humans to perform manually. For example, in image recognition, machine learning algorithms can classify images at a much faster rate than humans.
Personalization: Machine learning algorithms can be used to provide personalized recommendations to users based on their preferences and behavior. This is commonly seen in recommendation systems used by companies like Netflix and Amazon.
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Continuous Improvement: One of the key advantages of machine learning is its ability to learn and improve over time. As more data becomes available, machine learning models can be retrained to improve their accuracy and performance.
Complex Problem Solving: Machine learning can be used to solve complex problems that are difficult to address using traditional programming techniques. For example, in healthcare, machine learning is being used to analyze medical images, predict disease outbreaks, and personalize treatment plans.
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