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This course provides an introduction to machine learning models and their applications. The course explains the role of algorithms as the building blocks of machine learning models and how models are created for different AI applications. It explores the concept of training data and the distinction between supervised and unsupervised machine learning models. The course emphasizes the iterative process of training algorithms with data to improve their capabilities and generate insights for various use cases. The course will take around 10 minutes to complete and is designed for use on desktop, laptop, mobile and tablet.
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