/25 AI Fundamental Quiz The number of attempts remaining is 10 1 / 25 Which of the following is not a type of AI? Narrow AI General AI Super AI Reactive AI None of the above 2 / 25 What is an AI "agent"? A person who programs AI A software system that perceives its environment A type of data storage A hardware device None of the above 3 / 25 What does "big data" refer to? Large volumes of data Small datasets Structured data only Data that can be processed quickly None of the above 4 / 25 What does "data preprocessing" involve? Collecting new data Cleaning and transforming data Analyzing data Visualizing data None of the above 5 / 25 What is machine learning? A subset of AI A type of data storage A programming language A hardware component None of the above 6 / 25 What does the term "neural network" refer to? A type of computer hardware A collection of algorithms A model inspired by the human brain A software application None of the above 7 / 25 Which technique is used to improve the performance of machine learning models? Regularization Normalization Visualization All of the above None of the above 8 / 25 What is the purpose of feature selection? To reduce the number of features To increase data complexity To create more data To enhance model performance None of the above 9 / 25 Which programming language is most commonly used for AI development? Java C++ Python Ruby None of the above 10 / 25 What does AI stand for? Automated Intelligence Artificial Intelligence Advanced Intelligence Algorithmic Intelligence None of the above 11 / 25 What is the role of a loss function in machine learning? To optimize the model To evaluate performance To measure the model's accuracy To adjust the learning rate None of the above 12 / 25 Which of the following is a common challenge in AI? Data scarcity Lack of algorithms Overabundance of hardware Excessive data uniformity None of the above 13 / 25 Which of the following is a common application of AI? Image recognition Web browsing Data entry Manual calculations None of the above 14 / 25 Which metric is commonly used to evaluate classification models? Mean Squared Error Accuracy R-squared Confusion Matrix None of the above 15 / 25 What does "training" a model involve? Evaluating its performance Feeding it data to learn from Deploying it in production All of the above None of the above 16 / 25 What is deep learning? A type of machine learning A type of data mining A type of computer vision A type of software engineering None of the above 17 / 25 What is the main goal of supervised learning? To find patterns in data To predict outcomes based on input To automate tasks To mimic human behavior None of the above 18 / 25 What is overfitting in machine learning? A model that is too simple A model that learns noise instead of the signal A model that performs well on training data only A model that generalizes well None of the above 19 / 25 Which of the following is a popular framework for building deep learning models? TensorFlow Apache Hadoop MySQL Microsoft Excel None of the above 20 / 25 Which algorithm is commonly used for classification tasks? Linear regression Decision trees K-means clustering Principal component analysis None of the above 21 / 25 What is natural language processing (NLP)? A method for visual recognition A field of AI that focuses on language A data storage technique A type of neural network None of the above 22 / 25 What is the Turing Test used for? To test computer speed To evaluate machine intelligence To assess programming skills To measure data storage capacity None of the above 23 / 25 Which of the following is not a common application of AI in healthcare? Disease diagnosis Personalized medicine Predictive analytics Manual patient records management None of the above 24 / 25 Which of the following is an example of reinforcement learning? A chatbot learning from user input A robot learning to navigate obstacles A model predicting stock prices A system classifying emails None of the above 25 / 25 Which of the following is a type of unsupervised learning? Clustering Classification Regression Time series forecasting None of the above reCAPTCHA field is required please complete!Your score is 0% Restart quiz