NEW
Font size
WorksheetsIntroduction to artificial intelligence and machine learning
Total questions: 25
Worksheet time: 13mins
What does AI stand for?
Artificial instrument
Artificial intelligence
Augmented intelligence
Artificial intellectual
Artificial Intelligence is the process that allows computers to learn and make decisions like humans
True
False
What would make a robot intelligent?
It calculates mathematical problems faster than human minds.
It responds to the environment.
It responds to the environment according to previous experiences.
It can jump 1.5 meters higher than humans.
A major benefit of an machine with AI is
it could do a job too dangerous for a human
it could chop up your vegetables
it could love you like a brother
it could help you to hack someone phone
What kind of learning algorithm for "Future stock prices or currency exchange rates"?
Recognition Patterns
Recognizing Anomalies
Generating Patterns
Prediction
What kind of learning algorithm for "Facial identities or facial expressions"?
Generating Patterns
Recognizing Anomalies
Recognition Patterns
Prediction
Which of the following is not type of learning?
unsupervised learning
semi-unsupervised learning
supervised learning
reinforcement leanrning
Estimate the price of a house
Cluster
Classification
Regression
Identifying a man
Cluster
Classification
Regression
Students grade vs attendance
Cluster
Classification
Regression
Text Recognition
Cluster
Classification
Regression
Group different cats based on their looks
Cluster
Classification
Regression
Identify coins
Cluster
Classification
Regression
Identify the Problem:
We have Information of all previous general elections with respect to party, votes, candidates, locality, issues in nation, etc. With All this information we need to find the winner of next general election.
Classification
Regression
Clustering
None of them
Machine learning for classification, EXCEPT
K-means
KNN
ANN
SVM
These are performance evaluation for classification, EXCEPT
Accuracy
Specificity
Error rate
Mean squared error
Machine learning process, includes
filtering
data collection
model training
model evaluation
ALL
What device below is not an example of Machine Learning?
Wearable fitness tracker
Speech to text
Google search
None
NOT AI programming
C programming
Python
Java
Assembly language
Not AI platform
IBM Watson
Visual Basic
Google Colab
Tensorflow
In this type of Machine Learning, an AI system is presented with unlabeled, uncategorized data and the system’s algorithms act on the data without prior training. The output is dependent upon the coded algorithms.
Supervised learning
Unsupervised learning
Reinforcement learning
Technique learning
ANN is ......
a system that have capabilities to address many different tasks
a system requires many training compared to biological system
the memory is followed a pattern of distributed representation
a system that capable to learn with one training presentation
McCulloch and Pitts proposed the first computational model of neuron
2014
1958
1969
1943
In ANN training process
Data validation must more than data training
'1' can be set as initial weights
Mean squared error can perform as model evaluation
Target is not required
A training able to classify subjects correctly, result easy to interpret and prediction rate is acceptable.
Good model
Underfitting model
Overfitting model
