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Correlative Learning is a type of Artificial Intelligence (AI) that uses correlations between data points to identify patterns and make predictions. It is a form of supervised learning, where the AI is trained on a set of labeled data and then uses the correlations between the data points to make predictions. Correlative Learning is used in a variety of applications, such as natural language processing, computer vision, and robotics. It is also used in predictive analytics, where it can be used to identify trends and make predictions about future events.
Correlative Learning is becoming increasingly popular in the AI market, as it is a powerful tool for making predictions and identifying patterns. Companies such as Google, Microsoft, IBM, and Amazon are investing heavily in Correlative Learning, as it can be used to improve their products and services. Other companies such as OpenAI, DeepMind, and Sentient Technologies are also investing in Correlative Learning, as they seek to develop more powerful AI solutions. Show Less Read more
