Podcast
Questions and Answers
Which of the following topics is related to classifying with probability theory?
Which of the following topics is related to classifying with probability theory?
- Introduction to Neural Networks - Building NN for classification (binary/multiclass)
- Logistic regression (correct)
- Support vector machines
- Ensemble learning and improving classification with the AdaBoost meta-algorithm
For a woman who works at an office, which app is recommended?
For a woman who works at an office, which app is recommended?
- Pokemon Go
- Snapchat
- Work
- WhatsApp (correct)
Between Gender and Occupation, which one seems more decisive for predicting what app the users will download?
Between Gender and Occupation, which one seems more decisive for predicting what app the users will download?
- Occupation (correct)
- Both are equally decisive
- Gender
- Neither Gender nor Occupation is decisive
Between a horizontal and a vertical line, which one is more likely to cut the data better?
Between a horizontal and a vertical line, which one is more likely to cut the data better?
In the given dataset, which split is likely to separate the data points into two distinct groups based on the feature X2?
In the given dataset, which split is likely to separate the data points into two distinct groups based on the feature X2?
In non-parametric estimation, what does it mean for a model to be non-parametric?
In non-parametric estimation, what does it mean for a model to be non-parametric?
What does a decision tree implement?
What does a decision tree implement?
What method does the ID3 algorithm use for selecting the best attribute?
What method does the ID3 algorithm use for selecting the best attribute?
In decision tree learning, when should you use a decision tree?
In decision tree learning, when should you use a decision tree?
What is a common way to measure impurity in decision tree learning?
What is a common way to measure impurity in decision tree learning?
