CMN 150V: Midterm #1 Exam Questions
With 100% Complete Solutions
2025|2026 Latest Update
What is "simpler": a straight line or an oval? How many parameters do
you need to describe either one? - CORRECT ANSWER-A straight line is
simpler: I just need to define its slope (I parameter)
How did he define "regularization" in machine learning? - CORRECT
ANSWER-To force the fit not to use parameters more than it needs
In ml, the following are true? - CORRECT ANSWER-_ The number of
parameters define the complexity of the model
-hyperparameters aim at limiting the number of parameters of the
model
The goal of machine learning, as currently discussed by prof. Shelton, is
to find; - CORRECT ANSWER-A balanced representation of the particular
case that was observed and the potential to predict new, yet unseen
examples of the same kind
,Which are correct about sets? - CORRECT ANSWER-- a testing set is
used to see how accurate a ml decision rule is
- a training set is used to identify ml decision making rules
Which of of the following steps is a problem? - CORRECT ANSWER-I use
my testing set to define which decision rule should be chosen (which
shape in a problem space)
If I use my testing set to define which decision rule should be chosen, I
will naturally choose the decision rule that best fits my testing data.
What's the problem? - CORRECT ANSWER-The testing data was
reserved for the independent testing of accuracy, and not to "train a my
model (in a sense that it is not a part of the process to find a decision
rule). I now don't have an independent account of generalizability of my
decision rule on yet unseen data
Which are trie about ml sets? - CORRECT ANSWER-- the validation set is
used to decide which kind of decision rule guaranteed best
,- the testing set is used to identify how accurate the decision is for
unforeseen cases
- the training set is used to identify a pattern in the data
ml sin is.. - CORRECT ANSWER-Train ml algorithm on the testing set
What is the single best predictor variable for tomorrow's weather? -
CORRECT ANSWER-Today's weather
What is the difference between ai and Mr? - CORRECT ANSWER-ml is
part of ai that focuses on learning from empirical data
Asha bha states solution to fake news problem... - CORRECT ANSWER-
Does not require a definition of the problem
True or false? Asha bha defines fake news as an outright lie. - CORRECT
ANSWER-False, he limits it to misleading
, True or false? Rohan phadte insists that the only solution in the fake
news challenge consists in detect which news are fake. - CORRECT
ANSWER-False, he also points to treatment, which means that some
fake news might not be outright detectable
If machine learning would be trained to match images modified images
could be identified by ai, informing users which images are modified
and which ones are not, including pointing users to the source true or
false? - CORRECT ANSWER-True
Module 5 - CORRECT ANSWER-
What makes media messages engaging? - CORRECT ANSWER-Moral
frames
What does Mona do? - CORRECT ANSWER-It collects global news every
15 min and evaluates their moral frames
With 100% Complete Solutions
2025|2026 Latest Update
What is "simpler": a straight line or an oval? How many parameters do
you need to describe either one? - CORRECT ANSWER-A straight line is
simpler: I just need to define its slope (I parameter)
How did he define "regularization" in machine learning? - CORRECT
ANSWER-To force the fit not to use parameters more than it needs
In ml, the following are true? - CORRECT ANSWER-_ The number of
parameters define the complexity of the model
-hyperparameters aim at limiting the number of parameters of the
model
The goal of machine learning, as currently discussed by prof. Shelton, is
to find; - CORRECT ANSWER-A balanced representation of the particular
case that was observed and the potential to predict new, yet unseen
examples of the same kind
,Which are correct about sets? - CORRECT ANSWER-- a testing set is
used to see how accurate a ml decision rule is
- a training set is used to identify ml decision making rules
Which of of the following steps is a problem? - CORRECT ANSWER-I use
my testing set to define which decision rule should be chosen (which
shape in a problem space)
If I use my testing set to define which decision rule should be chosen, I
will naturally choose the decision rule that best fits my testing data.
What's the problem? - CORRECT ANSWER-The testing data was
reserved for the independent testing of accuracy, and not to "train a my
model (in a sense that it is not a part of the process to find a decision
rule). I now don't have an independent account of generalizability of my
decision rule on yet unseen data
Which are trie about ml sets? - CORRECT ANSWER-- the validation set is
used to decide which kind of decision rule guaranteed best
,- the testing set is used to identify how accurate the decision is for
unforeseen cases
- the training set is used to identify a pattern in the data
ml sin is.. - CORRECT ANSWER-Train ml algorithm on the testing set
What is the single best predictor variable for tomorrow's weather? -
CORRECT ANSWER-Today's weather
What is the difference between ai and Mr? - CORRECT ANSWER-ml is
part of ai that focuses on learning from empirical data
Asha bha states solution to fake news problem... - CORRECT ANSWER-
Does not require a definition of the problem
True or false? Asha bha defines fake news as an outright lie. - CORRECT
ANSWER-False, he limits it to misleading
, True or false? Rohan phadte insists that the only solution in the fake
news challenge consists in detect which news are fake. - CORRECT
ANSWER-False, he also points to treatment, which means that some
fake news might not be outright detectable
If machine learning would be trained to match images modified images
could be identified by ai, informing users which images are modified
and which ones are not, including pointing users to the source true or
false? - CORRECT ANSWER-True
Module 5 - CORRECT ANSWER-
What makes media messages engaging? - CORRECT ANSWER-Moral
frames
What does Mona do? - CORRECT ANSWER-It collects global news every
15 min and evaluates their moral frames
