Midterm Ai fundamentals reviewer 4 Flashcards
What is the learning rule for a perceptron called?
The Hebbian Rule
What is the Kullback-Leibler (KL) distance used for?
To measure the dissimilarity between two probability distributions
What is the main advantage of the Hebb rule?
It is fast to converge
What is the assumption made by the Naive Bayes classifier?
That the features in the data are independent of each other
What is the EM algorithm used to optimize in the “M” step?
The likelihood of the model
What is the main goal of the EM algorithm?
To maximize the likelihood of a model given the data
What is the advantage of the Naive Bayes classifier over other classifiers?
It is faster to train and predict
What is the least squares method used for?
To find the line of best fit for a set of data
What is the “E” step in the EM algorithm?
The step where the expectation of the latent variables is calculated
What is the Hebb rule?
A rule used to adjust the weights in a neural network
What is the main advantage of using a directed acyclic graph (DAG) over other types of graphs?
DAGs can represent more complex relationships between data
What is the disadvantage of the Naive Bayes classifier?
It is less accurate
What is the EM algorithm used for?
All of the above
What is the “M” step in the EM algorithm?
The step where the model parameters are updated
What is the advantage of using the Gaussian Naive Bayes classifier over other types of Naive Bayes classifiers?
It is able to handle continuous features
