The task of inferring a model from unlabeled training data i… The task of inferring a model from unlabeled training data is called Read Details
What does SVM stand for in machine learning? What does SVM stand for in machine learning? Read Details
What is the primary difference between supervised and unsupe… What is the primary difference between supervised and unsupervised learning? Read Details
The process of identifying and correcting errors in data is… The process of identifying and correcting errors in data is called: Read Details
Ethical considerations in data mining include: Ethical considerations in data mining include: Read Details
How does the kNN algorithm classify a new data point? How does the kNN algorithm classify a new data point? Read Details
Which technique is used for handling missing values in a dat… Which technique is used for handling missing values in a dataset? Read Details
Discretization techniques convert continuous data into: Discretization techniques convert continuous data into: Read Details
Dimensionality reduction techniques are useful when dealing… Dimensionality reduction techniques are useful when dealing with: Read Details
