From historical data, you know that 50% of students who take Cloudera's Introduction to Data Science: Building Recommenders Systems training course pass this exam, while only 25% of students who did not take the training course pass this exam. You also know that 50% of this exam's candidates also take Cloudera's Introduction to Data Science: Building Recommendations Systems training course.
What is the probability that any individual exam candidate will pass the data science exam?
A. 3/8
B. 1/4
C. 1/8
D. 1/2
From historical data, you know that 50% of students who take Cloudera's Introduction to Data Science: Building Recommenders Systems training course pass this exam, while only 25% of students who did not take the training course pass this exam. You also know that 50% of this exam's candidates also take Cloudera's Introduction to Data Science: Building Recommendations Systems training course.
If we know that a person has passed this exam, what is the probability that they took cloudera's introduction to Data Science: Building Recommender Systems training course?
A. 2/3
B. 1/2
C. 3/4
D. 3/5
Assuming the trends shown in this chart continue, what would we expect the value of the revenue to be in Q1 of 2013?
A. $125,000
B. $170,000
C. $220,000
D. $250,000
You have a large file of N records (one per line), and want to randomly sample 10% them. You have two
functions that are perfect random number generators (through they are a bit slow):
Random_uniform () generates a uniformly distributed number in the interval [0, 1] random_permotation (M)
generates a random permutation of the number O through M -1.
Below are three different functions that implement the sampling.
Method A
For line in file: If random_uniform () < 0.1; Print line
Method B
i = 0
for line in file:
if i % 10 = = 0;
print line
i += 1
Method C
idxs = random_permotation (N) [: (N/10)]
i = 0
for line in file:
if i in idxs:
print line
i +=1
Which method is least likely to give you exactly 10% of your data?
A. Method A
B. Method B
C. Method C
Why should stop an interactive machine learning algorithm as soon as the performance of the model on a test set stops improving?
A. To avoid the need for cross-validating the model
B. To prevent overfitting
C. To increase the VC (VAPNIK-Chervonenkis) dimension for the model
D. To keep the number of terms in the model as possible
E. To maintain the highest VC (Vapnik-Chervonenkis) dimension for the model
What is default delimiter for Hive tables?
A. ^A (Control-A)
B. , (comma)
C. \t (tab)
D. : (colon)
Certain individuals are more susceptible to autism if they have particular combinations of genes expressed in their DNA. Given a sample of DNA from persons who have autism and a sample of DNA from persons who do not have autism, determine the best technique for predicting whether or not a given individual is susceptible to developing autism?
A. Native Bayes
B. Linear Regression
C. Survival analysis
D. Sequence alignment
You are working with a logistic regression model to predict the probability that a user will click on an ad. Your model has hundreds of features, and you're not sure if all of those features are helping your prediction. Which regularization technique should you use to prune features that aren't contributing to the model?
A. Convex
B. Uniform
C. L2
D. L1
Refer to the exhibit.
Which point in the figure is the median?
A. A
B. B
C. C
Refer to the exhibit.
Which point in the figure is the mode?
A. A
B. B
C. C
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