Podcast
Questions and Answers
What is the main difference between supervised and unsupervised machine learning methods?
What is the main difference between supervised and unsupervised machine learning methods?
- Supervised methods do not require human experts, while unsupervised methods need guidance from experts.
- Supervised methods rely on human experts to process data, while unsupervised methods autonomously discover patterns in data. (correct)
- Supervised methods are used for clustering, while unsupervised methods focus on regression.
- Supervised methods are more complex than unsupervised methods.
In machine learning, what type of problem involves estimating the mathematical relationship between continuous variables?
In machine learning, what type of problem involves estimating the mathematical relationship between continuous variables?
- Association Problems
- Classification Problems
- Regression Problems (correct)
- Clustering Problems
What is the main goal of a classification problem in machine learning?
What is the main goal of a classification problem in machine learning?
- To identify continuous variables
- To discover patterns autonomously
- To estimate to which predefined class a sample belongs (correct)
- To compute mathematical relationships
What is the primary function of a boundary line in a classification problem?
What is the primary function of a boundary line in a classification problem?
Which machine learning method requires data sets that have been processed by human experts?
Which machine learning method requires data sets that have been processed by human experts?
In machine learning, what does an unsupervised method like Clustering do?
In machine learning, what does an unsupervised method like Clustering do?
What is the mode of a data sample?
What is the mode of a data sample?
What is a measure of how far each value in a dataset is from the mean?
What is a measure of how far each value in a dataset is from the mean?
What does the range statistic describe?
What does the range statistic describe?
Which central tendency measure leaves out an important part of the distribution?
Which central tendency measure leaves out an important part of the distribution?
What does the standard deviation measure in a data set?
What does the standard deviation measure in a data set?
In machine learning, what is the purpose of detecting patterns in data?
In machine learning, what is the purpose of detecting patterns in data?
What is the main purpose of Principal Component Analysis (PCA)?
What is the main purpose of Principal Component Analysis (PCA)?
Which machine learning method uses Bayes’ theorem with strong independence assumptions between features?
Which machine learning method uses Bayes’ theorem with strong independence assumptions between features?
What is the objective of Singular Value Decomposition (SVD) in linear algebra?
What is the objective of Singular Value Decomposition (SVD) in linear algebra?
What does Independent Component Analysis (ICA) focus on revealing?
What does Independent Component Analysis (ICA) focus on revealing?
In what scenario would Ordinary Least Squares Regression be used?
In what scenario would Ordinary Least Squares Regression be used?
Which statistical technique is characterized by converting correlated variables into linearly uncorrelated variables?
Which statistical technique is characterized by converting correlated variables into linearly uncorrelated variables?
