Which is the most important thing to ensure while collecting data?
A
What is the meaning of "deep" in deep learning?
D
Reference: https://en.wikipedia.org/wiki/Deep_learning
Which algorithm is best suited if a client needs full explainability of the machine learning model?
A
Given the following sentence:
The dog jumps over a fence.
What would a vectorized version after common English stopword removal look like?
C
Reference:
https://towardsdatascience.com/text-pre-processing-stop-words-removal-using-
different-libraries- f20bac19929a
Which statement defines p-value?
C
Reference: https://courses.lumenlearning.com/wmopen-concepts-statistics/chapter/introduction-to-
hypothesis- testing-5-of-5/
What is the primary role of a data steward?
D
Reference: https://analyticsindiamag.com/data-steward-roles-responsibilities/
Which is an example of a nominal scale data?
C
A data scientist is exploring transaction data from a chain of stores with several locations. The data
includes store number, date of sale, and purchase amount.
If the data scientist wants to compare total monthly sales between stores, which two options would
be good ways to aggregate the data? (Choose two.)
BD
A data analyst creates a term-document matrix for the following sentence: I saw a cat, a dog and
another cat.
Assuming they used a binary vectorizer, what is the resulting weight for the word cat?
B
In a hyperparameter search, whether a single model is trained or a lot of models are trained in
parallel is largely determined by?
C
Reference:
https://github.com/Kulbear/deep-learning-
coursera/blob/master/Improving%20Deep%20Neural%
20Networks%20Hyperparameter%20tuning%2C%20Regularization%20and%20Optimization/Week%
203%
20Quiz%20-
%20Hyperparameter%20tuning%2C%20Batch%20Normalization%2C%20Programming%
20Frameworks.md
If the distribution of the height of American men is approximately normal, with a mean of 69 inches
and a standard deviation of 2.5 inches, then roughly 68 percent of American men have heights
between
and
.
B
Which two properties hold true for standardized variables (also known as z-score normalization)?
(Choose two.)
A. standard deviation = 0.5
B. expected value = 0
C. expected value = 0.5
D. expected value = 1
E. standard deviation = 1
CE
(none)
Explanation
What is the main difference between traditional programming and machine learning?
D
What is the name of the design thinking work product that contains a summary description of a
particular person or role?
A
Reference: https://www.interaction-design.org/literature/topics/design-thinking
What are two methods used to detect outliers in structured data? (Choose two.)
BD
Reference:
https://www.researchgate.net/post/What-is-the-best-outliers-detection-algorithm-to-
used-for-big- data