Podcast
Questions and Answers
What is the primary goal of unsupervised machine learning?
What is the primary goal of unsupervised machine learning?
- To extract models describing important data classes
- To classify data into predefined categories
- To discover hidden patterns in data (correct)
- To predict continuous-valued functions
What is the term for the type of machine learning that involves predicting categorical labels?
What is the term for the type of machine learning that involves predicting categorical labels?
- Regression
- Classification (correct)
- Association
- Clustering
What is an example of a multiclass target in classification?
What is an example of a multiclass target in classification?
- Passed or failed
- Yes or no
- Low, medium, high (correct)
- 0 or 1
What is the term for the type of machine learning that involves predicting continuous-valued functions?
What is the term for the type of machine learning that involves predicting continuous-valued functions?
What is the term for the type of machine learning that involves discovering hidden patterns in data?
What is the term for the type of machine learning that involves discovering hidden patterns in data?
What is an example of a supervised machine learning problem?
What is an example of a supervised machine learning problem?
What is the term for the type of unsupervised learning method that involves grouping similar data points?
What is the term for the type of unsupervised learning method that involves grouping similar data points?
What is an example of a regression problem?
What is an example of a regression problem?
What is the primary difference between supervised and unsupervised machine learning?
What is the primary difference between supervised and unsupervised machine learning?
Which type of machine learning is used for classification and prediction?
Which type of machine learning is used for classification and prediction?
What is the purpose of an objective function in supervised machine learning?
What is the purpose of an objective function in supervised machine learning?
What is the primary task of unsupervised machine learning?
What is the primary task of unsupervised machine learning?
What is the term for the process of applying a supervised machine learning model to data for which the target value is unknown?
What is the term for the process of applying a supervised machine learning model to data for which the target value is unknown?
Which type of machine learning is used for clustering?
Which type of machine learning is used for clustering?
What is the role of the knowledge engineer and system designer in supervised machine learning?
What is the role of the knowledge engineer and system designer in supervised machine learning?
What is the primary characteristic of unsupervised machine learning algorithms?
What is the primary characteristic of unsupervised machine learning algorithms?
What is another term used to refer to individual rows in the training set during the classification process?
What is another term used to refer to individual rows in the training set during the classification process?
Why might the classifier's performance be overly optimistic if evaluated on the training set?
Why might the classifier's performance be overly optimistic if evaluated on the training set?
Which term describes the learning phase where the model builds by analyzing a training set?
Which term describes the learning phase where the model builds by analyzing a training set?
In the context of classification, what type of value does the class label attribute have?
In the context of classification, what type of value does the class label attribute have?
What is the purpose of using a test set in the classification process?
What is the purpose of using a test set in the classification process?
Which type of learning involves the provision of class labels for training rows?
Which type of learning involves the provision of class labels for training rows?
What is overfitting in the context of classification models?
What is overfitting in the context of classification models?
Which step occurs after the classifier model has been built in the classification process?
Which step occurs after the classifier model has been built in the classification process?
