WorksheetsAI and Machine Learning Quiz
Total questions: 25
Worksheet time: 13mins
Which among the following is an application of AI?
Computer Vision
Natural Language Processing
Decision Making
All of the above
The process of converting text to numbers is called
Vectorization
One-Hot Encoding
Label Encoding
TF-IDF
The four 'V's of Big Data include
Variety
Volume
Velocity
All of the above
Which of the following terms is not associated with Reinforcement Learning?
Agent
Environment
State
Return
Which of these methods can be used to generalize a model?
General
Dropout
Feature General
Generalization
A ____ algorithm will go through a neural network and adjust the weights of neural connections to correct errors.
propagation
forward propagation
recursive
back-propagation
What of the following is a challenge for AI?
Data Scarcity
Algorithm Bias
Difficulty in explaining results
All of the above
Deeper neural networks also yield better results when compared to shallower counterparts.
True
False
During the times of COVID-19, which application of AI can help detect whether a person is wearing a mask or not?
NLP
Reinforcement Learning
Computer Vision
Decision Making
Which of the following models would be appropriate for manipulating an image to imitate an artist's style?
Reinforcement Learning
GAN
RNN
LSTM
Which of the following Python libraries is used for digital image processing?
scikit-learn
OpenCV
TensorFlow
pandas
Suppose you are trying to build an AI to play the game of Chess. Which algorithm among the following would be appropriate?
Linear Regression
Q-learning
Decision Trees
GAN
In a deep neural network for multi-class classification, which activation function should be used on the output neuron?
Softmax
Sigmoid
ReLU
Linear
BERT makes use of _____ for its predictions
Transformer
Attention
Both Transformer and Attention
None of the above
RNNs train using
Back-propagation
Back-propagation through layers
Back-propagation through time
Back-propagation through gradient
The most important aspect to consider when looking for an AI-based solution is
The issue being solved needs to be grounded in a clear-cut business problem
Having a huge amount of data to work with
Having enough resources to train the AI model
Having many data scientists to work on the problem
GAN comprises of
Input Layer and Output Layer
Generator and Discriminator
Environment and Reward
Producer and Consumer
Which of the following is not an application of NLP?
Language Translation
Text auto completion
Self Driving Cars
Target Advertisement
If AI does not eventually destroy humanity, the impact of AI on society will mean
Overall decrease in jobs as everything will be done by machines
Social impact similar to the Industrial Revolution. The fabric of society will be changed, not destroyed
Humans won't have to do anything
A peaceful society
Which of the following is a common technique used to prevent overfitting in neural networks?
Normalization
Batch Processing
Regularization
Data Augmentation
What is the primary purpose of the loss function in a neural network?
To measure the accuracy of the model
To calculate the gradient
To optimize the weights of the model
To evaluate the performance of the model
Which of the following is a popular framework for building deep learning models?
TensorFlow
Scikit-learn
Pandas
NumPy
What technique is commonly used to improve the performance of a neural network by reducing its complexity?
Dropout
Batch Normalization
Data Normalization
Feature Scaling
Which of the following is a key advantage of using Convolutional Neural Networks (CNNs) for image processing tasks?
They can automatically detect features
They are easier to implement
They require less data
They are faster than traditional algorithms
In the context of machine learning, what does the term 'hyperparameter tuning' refer to?
Optimizing the learning rate
Adjusting the model's architecture
Choosing the best model from a set of candidates
Fine-tuning the parameters of the model during training
