Machine Learning Mcq

Machine Learning MCQ: Test Your Knowledge!

 

 

What is the training of machine learning models to make a sequence of decisions?
Decision Tree
Sequence-to-Sequence
Reinforcement Learning
Supervised Learning
Which of the following is not true about machine learning?
Machine learning is a subset of artificial intelligence
Machine learning is a subset of deep learning
Machine learning is a subset of natural language processing
Machine learning is not a subset of anything
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 the main advantage of using ensemble methods?
They always require less training data
They combine multiple models to improve performance
They are always faster than single models
They don't require hyperparameter tuning
What is a key benefit of open-source LLMs for commercial use?
They are always more accurate
They allow customization and transparency
They are always faster
They require no licensing
What is the typical range for the temperature setting in LLMs?
0 to 10
0 to 1
0 to 100
-1 to 1
What is a common challenge in machine learning?
Dealing with large volumes of data
Always achieving 100% accuracy
Always using the same algorithm
Eliminating all data noise
Is machine learning a subset of AI?
Yes
No
Only in certain areas
It depends on the application
What does LLM stand for in AI?
Large Language Model
Linear Learning Machine
Logical Language Mechanism
Linguistic Learning Method
What is inductive bias in machine learning?
A type of data preprocessing
Assumptions made by the model to generalize
A measure of model accuracy
A regularization technique
What is the primary purpose of embeddings in NLP?
To compress text data
To represent words or phrases as vectors
To encrypt language models
To speed up text processing
What is unsupervised learning used for?
Finding hidden patterns in unlabeled data
Classifying labeled data
Predicting continuous outcomes
Visualizing data points
What is a perceptron in machine learning?
A simple neural network
A type of clustering algorithm
A data preprocessing tool
A regression technique
What is the main difference between supervised and reinforcement learning?
Supervised learning uses labeled data, reinforcement learning uses rewards
Supervised learning is always more accurate
Reinforcement learning only works with image data
Supervised learning doesn't require any data
What is the difference between supervised and unsupervised machine learning?
Supervised uses labeled data; unsupervised does not
Unsupervised needs labeled data; supervised does not
Both require labeled data
Both do not require labeled data
What is deep machine learning?
A subset of machine learning using neural networks with many layers
A type of unsupervised learning
A method for data preprocessing
A technique for model deployment
What is the main function of a retriever in LangChain?
To retrieve deleted code
To fetch relevant information for LLM queries
To recover crashed applications
To retrain the model in real-time
What is the role of machine learning in healthcare?
Predicting patient outcomes based on data
Manually diagnosing patients
Writing medical reports
Designing healthcare facilities
What is the purpose of feature scaling?
To normalize the range of features for a model
To increase the size of the dataset
To reduce the number of features
To cluster similar data points
What does the term "recall" refer to in machine learning?
The proportion of true positives identified by the model out of all actual positives
The proportion of true negatives identified by the model
The speed of the model's predictions
The difference between predicted and actual values
Score: 0/20