Questions & Answers
Browse all 20 questions from the
AI and ML Fundamentals Quiz study set below.
Each question shows the correct answer — select a study format above to practice interactively.
1
Which of the following is a supervised learning algorithm?
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A
K-Means Clustering
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B
Principal Component Analysis (PCA)
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C
Linear Regression
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D
DBSCAN
2
What does the term 'overfitting' refer to in machine learning?
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A
A model that performs poorly on both training and testing data.
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B
A model that performs exceptionally well on training data but poorly on unseen data.
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C
A model that performs equally well on training and testing data.
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D
A model that requires very little computational power.
3
Which company developed the Transformer architecture, a foundational model for many modern NLP tasks?
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A
Microsoft
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B
Meta (Facebook)
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C
Google
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D
OpenAI
4
What is the primary goal of Reinforcement Learning?
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A
To classify data into predefined categories.
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B
To find patterns and structures in unlabeled data.
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C
To learn optimal actions through trial and error to maximize a reward.
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D
To reduce the dimensionality of data.
5
The Turing Test, proposed by Alan Turing, is a test of a machine's ability to:
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A
Solve complex mathematical problems.
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B
Exhibit intelligent behavior equivalent to, or indistinguishable from, that of a human.
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C
Process vast amounts of data quickly.
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D
Generate realistic images.
6
What is a common application of Convolutional Neural Networks (CNNs)?
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A
Natural Language Processing
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B
Time Series Forecasting
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C
Image Recognition
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D
Recommender Systems
7
Which of these is a measure of model performance in classification tasks?
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A
Mean Squared Error (MSE)
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B
R-squared
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C
Accuracy
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D
Root Mean Squared Error (RMSE)
8
What is 'feature engineering' in machine learning?
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A
Selecting the most appropriate algorithm for a problem.
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B
Tuning hyperparameters of a model.
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C
Creating new input features from existing ones to improve model performance.
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D
Evaluating the model's performance on test data.
9
Which algorithm is typically used for dimensionality reduction?
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A
Support Vector Machines (SVM)
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B
Decision Trees
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C
K-Nearest Neighbors (KNN)
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D
Principal Component Analysis (PCA)
10
The 'bias-variance trade-off' in machine learning refers to:
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A
The balance between the complexity of a model and the amount of data available.
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B
The trade-off between the model's error on training data and its error on unseen data.
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C
The choice between supervised and unsupervised learning.
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D
The speed of model training versus prediction time.
11
What type of learning deals with unlabeled data?
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A
Supervised Learning
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B
Reinforcement Learning
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C
Unsupervised Learning
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D
Semi-supervised Learning
12
Which of the following is a popular deep learning framework?
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A
Scikit-learn
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B
TensorFlow
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C
Pandas
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D
NumPy
13
What is 'gradient descent' primarily used for in machine learning?
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A
Feature selection.
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B
Hyperparameter tuning.
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C
Minimizing a cost function.
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D
Data preprocessing.
14
The term 'AI Winter' refers to periods of:
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A
Rapid advancement and funding in AI research.
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B
Increased public interest and investment in AI.
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C
Reduced funding and interest in AI research due to unfulfilled promises.
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D
The successful widespread deployment of AI systems.
15
What is the core idea behind 'ensemble learning'?
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A
Using a single, highly complex model.
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B
Combining multiple simpler models to improve predictive performance.
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C
Reducing the size of the training dataset.
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D
Visualizing the decision boundaries of a model.
16
Which of these is an example of a generative AI model?
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A
Support Vector Machine (SVM)
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B
Linear Regression
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C
Generative Adversarial Network (GAN)
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D
Decision Tree
17
What is 'regularization' used for in machine learning?
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A
To increase the complexity of a model.
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B
To prevent overfitting by adding a penalty for large coefficients.
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C
To speed up the training process.
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D
To improve the interpretability of a model.
18
Which of the following is NOT an example of a type of neural network?
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A
Recurrent Neural Network (RNN)
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B
Feedforward Neural Network
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C
Decision Tree
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D
Convolutional Neural Network (CNN)
19
What is the purpose of a 'loss function' in machine learning?
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A
To measure the number of features in a dataset.
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B
To quantify the error between predicted and actual values.
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C
To determine the best algorithm for a task.
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D
To visualize the results of a model.
20
The development of Deep Blue, a chess-playing computer, is considered a significant milestone in the history of:
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A
Natural Language Processing
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B
Robotics
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C
Artificial Intelligence
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D
Computer Vision
