Techniques involve the usage of both labeled and unlabeled data is called .

Related MCQs

• Techniques involve the usage of both labeled and unlabeled data is called     .
• Techniques involve the usage of both labeled and unlabeled data is called      .
• Techniques involve the usage of both labeled and unlabeled data is called___.
• The problem of finding hidden structure in unlabeled data is called…
• What characterize unlabeled examples in machine learning
• Machine learning techniques differ from statistical techniques in that machine learning methods
• Machine learning techniques differ from statistical techniques in that machine learning methods
• Suppose on performing reduced error pruning, we collapsed a node and observed an improvement in the prediction accuracy on the validation set. Which among the following statements are possible in light of the performance improvement observed? (a) The collapsed node helped overcome the effect of one or more noise affected data points in the training set (b) The validation set had one or more noise affected data points in the region corresponding to the collapsed node (c) The validation set did not have any data points along at least one of the collapsed branches (d) The validation set did have data points adversely affected by the collapsed node
• which of the following cases will K-Means clustering give poor results? 1. Data points with outliers 2. Data points with different densities 3. Data points with round shapes 4. Data points with non-convex shapes
• In which of the following cases will K-Means clustering fail to give good results? 1. Data points with outliers 2. Data points with different densities 3. Data points with round shapes 4. Data points with non-convex shapes