stud
bud
Sign up
Log in
Home
Library
Explore
SAT
More
Artificial Intelligence Flashcards | StudBud
Explore
/
Artificial Intelligence
Artificial Intelligence
10 terms
·
StudBud Administration
·
1,119 plays
A #blindquiz to start debunking myths about #AI in tech
Flashcards
10 cards
F
Practice quiz
P
Host live
L
Questions
10
Answers
1
Which algorithm is
NOT suitable
for solving binomial classifications (ex: predicting churn)
Logistic regression
Ordinary least squares
Artificial neural network
Random forest
2
The
precision
of a binary classification algorithm (ex: to predict churn) is given by [...]
The ratio between true positives and false positives
The ratio between true negatives and true positives
The proportion of correct predictions
The proportion of correct positive predictions
3
The '
receiver operating characteristic curve
' (ROC Curve) serves to compare which algorithms?
Continuous values
Binary classification
Image recognition
Clustering
4
Which type of
neural network
is this one in the picture?
Deep
Convolutional
Shallow
Perceptron
5
A machine shows intelligent behaviour that’s
indistinguishable from speaking to a human
when..
It fails the Kolmogorov-Smirnov test
It fails the Dickey-Fuller test
It passes the Turing test
It passes the Radio test
6
What kind of recommendation algorithm did Netflix use
before
2009?
Global average collaborative filtering
User-based collaborative filtering
Item-based collaborative filtering
A hybrid model
7
Which of the following statements correctly describes what
correlation
measures?
The relationship between two variables
How a variable impacts another variable
How a variable causes another variable
The association between two variables
8
Which of the metrics below is used to compare
K-means clustering algorithms
?
MSE
ROC AUC
R-squared
Silhouette
9
Which of the below answers best describes a
false positive
?
Case was negative and predicted negative
Case was positive but predicted negative
Case was negative but predicted positive
Case was positive and predicted positive
10
Computers became better than humans at
image recognition
in [...]
1981
2015
1996
2006
