1. Artificial Intelligence, Machine Learning,
Deep Learning
1.
AI
stands for ____________
a)
Aircraft
Intelligent
b)
Artificial Intelligence
c)
Aerial
Intelligence
d)
Advanced Internet
2.
What
is Artificial intelligence?
a)
Putting your
intelligence into Computer
b)
Programming with
your own intelligence
c)
Making a Machine intelligent
d)
Playing a Game
3.
Who
is the father of Artificial Intelligence?
a)
Charles Babbage
b)
Alan Turing
c)
John McCarthy
d)
Bill Gates
4.
In
the Healthcare Industry, AI has disrupted:
a)
Medical Imaging
b)
Surgery
c)
Physiological
Diagnosis
d)
None of the above
5.
Which
programming language is used for AI?
a)
Python
b)
LISP
c)
PROLOG
d)
All the above
6.
The
characteristics of the computer system capable of thinking, reasoning and
learning is known is
a)
Machine
Intelligence
b)
Human
Intelligence
c)
Artificial Intelligence
d)
Virtual
Intelligence
7.
What
is the full form of “ML”?
a)
Machine Learning
b)
Machine Looking
c)
Mechanic Link
d)
Many Learning
|
Dept of Computer Science – VSKUB |
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8.
The
process of training a Neural Net is:
a)
Model -> Train
-> Training Data -> Prediction -> Test and Update
b)
Train -> Model
- >Prediction -> Test and Update
c)
Training Data -> Model -> Predict -> Test and
Update
d)
Training Data
-> Predict -> Test and Update -> Model
9.
A
bot that can determine whether a bug is exploitable is called:
a)
Medecision
b)
Automatic Exploit Generation
c)
Hal
d)
None of the above
10.
Which
type of Neural Network is used by Stock Market Indices?
a)
LSVM
b)
NSTM
c)
LSTM
d)
ANSI
11.
Which of the following Machine Learning Algorithms is a learning
method that interacts with its environment by producing actions and and
discovering errors or rewards?
a)
Supervised
Learning
b)
Semi Supervised
Learning
c)
Reinforcement Learning
d)
None of the above
12.
The
most basic type of an ANN is called:
a)
Feedforward Neural Network
b)
Recurrent Neural
Network
c)
Boltzmann Machine
Network
d)
None of the above
13.
In
a Deep Learning System, each connection between Neurons is associated with a:
a)
Length
b)
Weight
c)
Function
d)
Loop
14.
The
network evaluates how good its prediction was through_________.
a)
Cost function.
b)
Loss function
c)
Bias parameters
d)
Back propagation
15.
What
is the term used for describing the judgmental or common-sense part of problem
solving?
a)
Heuristic
b)
Critical
c)
Value based
d)
Analytical
|
Dept of Computer Science – VSKUB |
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16.
An AI technique that allows computers to understand associations
and relationships between objects and events is called:
a)
Heuristic
Processing
b)
Cognitive Science
c)
Relative
Symbolism
d)
Pattern Matching
17.
The
field that investigates the mechanics of human intelligence is:
a)
History
b)
Cognitive Science
c)
Psychology
d)
Sociology
18.
What
is the full form of “DL”?
a)
Deep Learning
b)
Depth Learning
c)
Drone Launching
d)
Drive Loading
19.
Machine
learning is a subset of ................
a)
Deep Learning
b)
Artificial Intelligence
c)
Data Learning
d)
None of the above
20.
Who
is the father of Machine Learning?
a)
Geoffrey Hill
b)
Geoffrey Chaucer
c)
Geoffrey Everest Hinton
d)
None of the above
21. ................... algorithms
enable the computers to learn from data, and even improve themselves,
without being explicitly programmed.
a)
Deep Learning
b)
Machine Learning
c)
Artificial
Intelligence
d)
None of the above
22.
Real-Time
decisions, Game AI, Learning Tasks, Skill acquisition, and Robot Navigation are
applications of
a)
Reinforcement Learning
b)
Supervised
Learning: Classification
c)
Unsupervised
Learning: Regression
d)
None of the above
23.
Common
classes of problems in machine learning is ..............
a)
Clustering
b)
Regression
c)
Classification
d)
All of the above
|
Dept of Computer Science – VSKUB |
5 |
a)
Receives neural
networks
b)
Report neural
networks
c)
Recording neural
networks
d)
Recurrent neural networks
25.
Application
of machine learning methods to large databases is called
a)
Data Mining.
b)
Artificial
Intelligence
c)
Big Data
Computing
d)
Internet Of
Things
26.
Which
of the following is the best machine learning method?
a)
Scalable
b)
Accuracy
c)
Fast
d)
All of the above
27.
Which
of the following is an example of deep learning?
a)
Self-driving cars
b)
Pattern
recognition
c)
Natural language
processing
d)
All of the above
28.
For
an image classification task, which of the following deep learning algorithm is
best suited?
a)
Recurrent Neural
Network
b)
Multi-Layer
Perceptron
c)
Convolution Neural Network
d)
All of the above
29.
Which
of the following makes a neural network non-linear?
a)
Convolution
function
b)
B. Batch gradient
descent
c)
Rectified linear unit
d)
All of the above
30.
What
is true about Machine Learning?
a)
Machine Learning
(ML) is that field of computer science
b)
ML is a type of
artificial intelligence
c)
ML is a field of
AI consisting of learning algorithms
d)
All of the Above
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