A Quiz on Artificial Intelligence and Machine Learning

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A Quiz On Artificial Intelligence And Machine Learning

10 Questions 0 Attempts 113 Seen

This set of questions covers a range of foundational topics in AI and ML, including supervised and unsupervised learning, model evaluation, and applications in natural language processing and deep learning. These questions are designed to test knowledge across various core concepts in AI/ML, suitable for beginners and those preparing for certification exams in these fields. Start Test without Login in
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Q.No.	Que title	Option 1 (a)	Option 2 (b)	Option 3 (c)	Option 4 (d)
1	What is the main objective of supervised learning in machine learning?	To predict outcomes for new data	To discover hidden patterns in data	To reduce the dimensionality of data	To generate new data from existing data
2	Which algorithm is commonly used for classification tasks?	K-Means Clustering	Linear Regression	Decision Trees	Apriori Algorithm
3	What does "overfitting" refer to in machine learning?	A model performing well on both training and test data	A model performing poorly on training data but well on test data	A model performing well on training data but poorly on test data	A model that generalizes well to unseen data
4	Which of the following is an example of unsupervised learning?	Support Vector Machines	Principal Component Analysis (PCA)	Random Forest	Naive Bayes
5	What is the purpose of a "learning rate" in gradient descent optimization?	To determine the size of steps taken towards the minimum of a function	To increase the model's complexity	To define the number of iterations	To prevent the model from underfitting
6	In natural language processing, what does "tokenization" refer to?	Breaking down text into paragraphs	Splitting text into sentences	Breaking text into smaller units like words or phrases	Removing punctuation and stopwords
7	Which metric is commonly used to evaluate the performance of a classification model?	Mean Squared Error (MSE)	R-squared	F1 Score	Root Mean Squared Error (RMSE)
8	What is a "convolutional neural network" (CNN) primarily used for?	Time series forecasting	Text generation	Image recognition	Speech synthesis
9	In reinforcement learning, what is an "agent"?	The environment where actions are taken	A set of possible actions	A reward function	An entity that learns and makes decisions
10	What is "regularization" in machine learning?	Increasing model complexity	Adding noise to the data	Penalizing complex models	Optimizing hyperparameters

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