Machine learning is tied in with creating predictive models from uncertain data. Uncertainty implies working with imperfect or fragmented information. In any case, we can oversee uncertainty utilizing the tools of probability. The main sources of uncertainty in machine learning are noisy data, inadequate coverage of the problem domain and faulty models. Are Your Curves Normal? Probability an…
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