Advanced Concepts of Modelling in AI
Quiz by Thirupathi Pachaiyappan
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- Q1
Machine Learning focuses on ?
Building Circuits
Learning from Data
Simulating Emotions
Physical Robots
30s - Q2
Which of these is an application of Machine Learning?
Building database
Writing Programming Code
Manual data processing
Recommendation Systems
30s - Q3
which of the following is labelled data?
Unusable data
Raw data
Marked or tagged data
Unmarked data
30s - Q4
which of the following types of datasets does unsupervised learning use?
Labelled dataset
Partially labelled dataset
Fixed rules dataset
Unlabelled dataset
30s - Q5
Which of the following uses unsupervised learning?
A weather prediction system using historical data.
A chatbot answering FAQs using predefined rules.
A model predicting exam scores based on past performance.
Grouping photos in a gallery into "Vacation", "family", "pets" categories.
30s - Q6
What type of feedback does reinforcement learning use?
Unlabelled data feedback
No feedback
Labelled data feedback
Reward and penalty feedback
30s - Q7
Identify the role of the input layer in a neural network.
Receive data
Predictions
Activation functions
Computation
30s - Q8
Which machine learning is best for grouping customers based on their shopping bahaviours?
Classification
Clustering
Regression
Association
30s - Q9
An AI agent playing a game and learning from its rewards and penalties is an example of :
Supervised Learning
Unsupervised Learning
Reinforcement Learning
Evolutionary Learning
30s - Q10
Reinforcement learning is particularly useful for scenarios where:
The data is structured and easily categorised.
Large amounts of labelled data are available.
The desired outcome is clear, but the path to achieve it is unknown.
The task requires reasoning and logical deduction
30s - Q11
what does Reinforcement Learning aim to maximise?
Clustering efficiency
Prediction accuracy
Cumulative rewards
Data patterns
30s - Q12
Which algorithm is primarily used in image-related tasks like facial recognition?
Regression
CNN
ANN
Classification
30s - Q13
Artificial neural networks are inspired by the structure and function of :
Quantum computers
High-speed processors
The human brain
complex mathematical models
30s - Q14
Training a neural network often requires:
A specific set of programming instructions
A human expert to guide the learning process
A significant amount of data and computational resources
A small set of labelled data samples
30s - Q15
What does unsupervised learning primarily aim to achieve?
Predict specific labels for new data
Identify hidden patterns or clusters in the data
Replace rule-based systems entirely
Solve Predefined problems using training data
30s