PreReq quiz for Machine Learning for Healthcare (6.S897, HST.956)
This quiz will not count toward your grade, but will be used by the course staff to check prerequisites (6.036/6.862 or 6.867 or 9.520/6.860 or 6.806/6.864 or 6.438 or 6.034) and to assess students' preparation for this class.
Please submit it as soon as possible -- and no later than Tuesday 2/5/19 at 11:59pm EST. We expect the quiz to take no more than 15-20 minutes.
Full Name (first, last)
Which of these MIT machine learning classes have you taken?
Consider the following generative process describing the joint distribution p(Z,X): Z ~ Bernoulli(0.2), X ~ Gaussian(mu_Z, 0.5), where mu_0=3 and mu_1=5. Which of the following plots is the marginal distribution p(X)?
Consider the following one-dimensional dataset for the next two questions. There are two classes (blue circles and red squares).
[references image above] Where is the decision boundary of a (hard margin) linear SVM classifier trained on the full dataset?
[references image above] What is the leave-one-out cross-validation error (i.e. average fraction of misclassified points from 6-fold cross-validation) for a hard-margin linear SVM classifier on this data?
Gradient descent will always converge to a global minimum, even for non-convex functions.
Please match the four values of C to the four figures. For each row (i.e. figure), select the column which corresponds to the correct value of C.
What would be the value of output z in the neural network below for the input x1=1 and x2=0 ?
Please self-report which tasks you would be comfortable doing in Python for a given .csv of movies, cast list, genre, and box office gross numbers:
Open the .csv file and read its content into a data structure.
Find average box office gross for horror movies in 2019.
Plot the cast list length versus box office gross.
Find frequent bi-grams in movie titles.
Fit a scikit-learn LinearRegression model to predict box office gross using all of the other features.
Determine the best hyperparameter C for the model using cross-validation.
Determine which feature is the strongest individual predictor of box office gross.
Are you comfortable using Keras, TensorFlow, or PyTorch?
What is your registration status as student for this class?
MIT grad student
Non-MIT registered student
Why do you want to take this class?
Send me a copy of my responses.
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