WorksheetsAIM Review
Total questions: 40
Worksheet time: 20mins
Ant colony behavior is mainly based on...
the exploitation of proactive feedback
the exploitation of neutral feedback
the exploitation of positive feedback
the exploitation of negative feedback
None
Open Loop System
System output has no effect on the control
System output has an effect on control
This is not the right answer
Goes in an infinite loop
Is a microwave an example of an open or closed loop system?
Open
Closed
Is a thermostat an example of an open or closed loop system?
Open
Closed
Is a racing cyclist an example of an open or closed loop system?
Open
Closed
Is the cruise control on a car an example of an open or closed loop system?
Open
Closed
Is an old washer and dryer an example of an open or closed loop system?
Open
Closed
Is a modern washing machine an example of an open or closed loop system?
Open
Closed
The number of moveable joints in the base, the arm, and the end effectors of the robot determines_________
a) degrees of freedom
b) payload capacity
c) operational limits
d) flexibility
The main application of convolutional neural networks is?
Image recognition
Finding local maximum
weather predictions
Image classification
What if we would like to have prediction output (binary classification) represented by probability, which activation function is the best choice?
tanh
ReLu
Sigmoid
Linear
What if the learning rate is too high?
Model is difficult to converge
Model consumes more computational resources
Model takes longer time to converge
Model is difficult to generalize
Which of the following is not used to reduce overfitting?
Stopping the training earlier
Using a larger dataset
Reducing the complexity of the model
Using k-fold cross validation
Which of the following statements is false?
Overfitted models perform better on the training data than on the test data
Overfitting can occur when learning is performed for too long
Overfitting can occur if the training set is not representative
Underfitted models always generalise well to different datasets
What is the purpose of a loss function in machine learning?
To increase the model's accuracy
To speed up the training process
To measure the model's error
To define the output of the model
Which of the following is not a popular machine learning library or framework?
TensorFlow
PyTorch
Keras
Microsoft Word
What is overfitting in machine learning?
Achieving high model accuracy
Fitting the model to the training data too closely
Underutilizing the training data
Reducing the model's complexity
What is reinforcement learning in the context of AI, and provide an example application?
Reinforcement learning is the process of training AI models with supervised data. An example application is image classification.
Reinforcement learning is the process of training AI models with labeled data. An example application is autonomous driving.
Reinforcement learning is the process of learning from interaction with an environment to maximize rewards. An example application is training a robot to play chess.
Reinforcement learning is the process of using pre-defined rules to make AI decisions. An example application is spam email filtering.
What is the term for a machine learning technique that involves combining multiple models to improve overall performance?
Ensemble Learning
Gradient Descent
Reinforcement Learning
Unsupervised Learning
What is the main difference between classification and regression tasks in machine learning?
Classification predicts categories, while regression predicts numerical values.
Classification uses neural networks, while regression uses decision trees.
Classification is supervised learning, while regression is unsupervised learning.
Classification involves clustering data, while regression involves linear equations.
What does the term "bias-variance trade-off" refer to in machine learning?
Balancing the model's accuracy with its interpretability
The trade-off between underfitting and overfitting
The balance between feature selection and feature engineering
The trade-off between training time and prediction time
