Trainings 4 IT Cloud

http://hadoopexam.com/hadoop_training/Hadoop_Certification_offer_home.png

http://hadoopexam.com/hadoop_training/Hadoop_Certification_offer_home.png

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)