Machine Learning Mcq

Machine Learning MCQ: Test Your Knowledge!

 

 

Machine learning is a subset of?
Artificial intelligence
Statistics
Data mining
Mathematics
Which of the following is NOT true about deep learning?
It uses neural networks with many layers
It always requires less data than traditional ML
It can automatically learn features from raw data
It has shown remarkable performance in various domains
What is a decision tree in machine learning?
A model that splits data based on features to predict outcomes
A method to cluster similar items
A tool for data visualization
A technique to reduce dimensionality
What is a key characteristic of foundation models compared to traditional LLMs?
They are smaller in size
They are trained on broader datasets
They only work for specific tasks
They require less computing power
What is inductive bias in machine learning?
Assumptions made by the learning algorithm
The randomness in the dataset
Errors in the data labeling
The process of overfitting
What is the primary purpose of LangChain in Java?
To create Java applications
To facilitate building LLM-powered applications
To replace Java with a new language
To optimize Java performance
What is the difference between a dense layer and a convolutional layer in neural networks?
Dense layers are only for images
Convolutional layers use shared weights
Dense layers are unsupervised
There is no difference
What is the purpose of the learning rate in gradient descent?
To determine the number of iterations
To control the step size during optimization
To set the batch size
To initialize the model weights
What is a perceptron in machine learning?
A simple neural network
A type of clustering algorithm
A data preprocessing tool
A regression technique
How is an artificial neural network related to machine learning?
It's a competing technology
It's a type of machine learning algorithm
It's only used in computer vision
It's not related to machine learning
What is the main difference between Large Language Models (LLMs) and traditional machine learning models?
LLMs only work with text data
LLMs are always unsupervised
LLMs can generate content, not just classify
LLMs are smaller in size
What is hyperparameter tuning in machine learning?
The process of optimizing the model's parameters
The process of cleaning and preprocessing data
The process of visualizing data
The process of reducing dimensionality
Is deep learning a subset of machine learning?
Yes
No
Maybe
It depends
Is deep learning a subset of machine learning?
Yes
No
Only in specific contexts
It depends on the algorithm
What is the main difference between a Convolutional Neural Network (CNN) and a Regular Neural Network?
CNNs are only for text data
CNNs use pooling layers
CNNs don't use activation functions
CNNs are unsupervised
How does machine learning handle noisy data?
By using techniques like filtering or noise reduction
By ignoring the noise
By removing all noisy data
By increasing the noise in the dataset
What is the purpose of a confusion matrix in classification?
To evaluate the accuracy of the model
To visualize the data distribution
To reduce data dimensionality
To cluster similar items together
What is the main difference between batch normalization and layer normalization?
Batch normalization is applied to all layers
Layer normalization is applied across features
Batch normalization is only for CNNs
There is no difference
What is the difference between generative AI and machine learning?
Generative AI creates new data, ML analyzes existing data
ML creates new data, Generative AI analyzes existing data
Both are identical
There is no difference
What is unsupervised learning used for?
Finding hidden patterns in unlabeled data
Classifying labeled data
Predicting continuous outcomes
Visualizing data points
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