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• Q 29: Suppose that the probability that a pedestrian will be hit by a car while crossing the road at a pedestrian crossing without paying attention to the traffic light is to be computed. Let H be a discrete random variable taking one value from {Hit, Not
• Q 28. Suppose you have been given two Random Variables X and Y, whose joint distribution is already known, the marginal distribution of X is simply the probability distribution (Databricks Certification Questions and Answer for Data Science and Spark)
• Q 27. In statistics, maximum-likelihood estimation (MLE) is a method of estimating the parameters of a statistical model. When applied to a data set and given a statistical model, maximum- (Data science and Machine Learning Questions and Answer for Databr
• Q26. Which of the following are point estimation methods? (Databicks Certfication Questions and Answer for the Data science and Machine Learning)
• Q 25. Which is an example of supervised learning? (Datascience Questions and Answer for Databricks and Machine Learning)
• Q 24. Select the correct problems which can be solved using SVMs (Databricks Certification Questions and Answer for Data Science and Machine Learning)
• Q23. Support vector machines (SVMs) are a set of supervised learning methods used for (Databricks Machine Learning and Data analytics Certification Questions and Answer)
• Q 22. Which of the following are advantages of the Support Vector machines (Databricks Certification Data science real questions and answer with PDF download)
• Q21. Bayes’ theorem cannot finds the actual probability of an event from the results of your tests? (Databricks Questions and Answer for Data science and Machine Learning)
• Q20. In which of the following scenario we can use naïve Bayes theorem for classification (Latest Questions and Answer for Databricks Certification)