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Importance of Data Science Data Science is crucial in decision-making and businessintelligence across various industries. Bayesian Statistics: A statistical inference approach that uses Bayes’ theorem to update the probability of a hypothesis as more evidence becomes available.
In the final stage, the results are communicated to the business in a visually appealing manner. This is where the skill of data visualization, reporting, and different businessintelligence tools come into the picture. The K-NearestNeighbor Algorithm is a good example of an algorithm with low bias and high variance.
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