Which library is widely used for ML in Python?

Which algorithm is widely used in handwriting recognition?

Which type of machine learning is anomaly detection?

Which algorithm is used in search engines for ranking pages?

Which is the main challenge in AI?

Which AI technique allows computers to see and interpret images?

Which of these is a supervised learning example?

Which of these is an evaluation metric for clustering?

Which step comes first in an AI project?

Which algorithm is often used for recommendation systems?

Which is an application of computer vision?

GAN stands for?

Which type of neural network is best for sequential data?

Which loss function is used in binary classification?

Which optimizer is widely used in deep learning?

Which technique is used to prevent overfitting in neural networks?

Which type of AI is currently in practical use?

Which metric is used for classification?

Which is an example of reinforcement learning?

Which algorithm is used for dimensionality reduction before visualization?c

Which of these is a convolutional neural network application?

Which algorithm is commonly used for clustering?

Which algorithm is commonly used for clustering?

Which type of AI is self-aware and human-like?

Which term describes teaching AI with labeled data?

Which of these is NOT a deep learning algorithm?

Which component of AI is used in Siri and Alexa?

Which algorithm is best for market basket analysis?

Which activation function is commonly used in neural networks?

What is overfitting in machine learning?

Which of these is a deep learning framework?

Which type of learning uses rewards and punishments?

Which type of learning uses rewards and punishments?

Which of the following is a dimensionality reduction technique?

Which metric is commonly used for regression problems?

Which of the following is NOT a supervised learning algorithm?

Which of these is an example of unsupervised learning?

Which algorithm is used in spam email detection?

What does NLP stand for?

Which algorithm is used for classification problems?

Which AI technique is inspired by the human brain?

Which of these libraries is commonly used for machine learning in Python?

Which programming language is most popular for AI development?

Which of the following is NOT a type of AI?

Which of the following is the father of Artificial Intelligence?

Which of the following is the standard markup language for creating web pages?

Which is NOT a real-world challenge of AI?

Which of the following is an AI tool used for image classification?

In reinforcement learning, the func on that tells how good an ac on is in a given state is called:

ChatGPT is an example of:

Which AI approach mimics Darwin’s theory of evolution?

What is fuzzy logic in AI?

Which algorithm is commonly used in clustering tasks in AI?

1. Pre-defined rules and facts

Knowledge-based AI systems mainly rely on:

The Markov Decision Process is used in:

Which of the following is a genera ve AI model?

Which of the following is an example of strong AI?

Self-driving cars are an application of:

Which metric is used to measure classifica on accuracy in AI?

Which of the following describes Deep Learning?

Which of the following AI applica ons is based on NLP?

Which of these is not a type of AI agent?

Which algorithm is used in game-playing AI?

What is a perceptron in AI?

Which of these is an example of AI in daily life?

Which type of learning uses trial and error?

An expert system in AI is:

The algorithm “A* Search” is based on:

The process of training an AI system with labeled data is called:

Computer vision in AI deals with:

Which of the following is a popular AI framework?

In machine learning, overfiting means:

Which of the following is NOT an AI programming language?

Which AI system uses sensors and actuators to interact with the environment?

What is the full form of NLP in AI?

AI systems that can perform mul ple tasks with human-like reasoning are known as:

Which algorithm is widely used for training neural networks?

Which of the following is a limita on of AI?

Natural Language Processing (NLP) is used for:

Which algorithm is commonly used in decision-making AI systems?

Which of the following is a reinforcement learning example?

Which is an AI applica on in healthcare?

Which of the following is an unsupervised learning method?

Which search algorithm explores all nodes at a given depth before moving to the next?

In AI, knowledge representa on refers to:

Which of the following is an example of Narrow AI?

Which language is most commonly used in AI development?

The Turing Test is used to check:

Which of the following is a branch of AI that focuses on mimicking human brain functions?

What is the main goal of Artificial Intelligence?

Which of the following is an application of AI?

Which of the following best defines Ar ficial Intelligence?

Which is a subfield of AI?

Which programming language is most popular for AI?

In AI, supervised learning uses:

Which algorithm is widely used for classifica on tasks?

What is reinforcement learning based on?

Which neural network is best suited for image recogni on?

What does NLP stand for in AI?

Which company created TensorFlow?

Which AI approach tries to mimic the human brain?

Which metric is used to evaluate classifica on accuracy?

Which algorithm is used for clustering?

Overfitting occurs when

Which method reduces dimensionality in datasets?

Which activation function is most common in neural networks?

ChatGPT is based on which AI technique?

Which term refers to the ability of AI to generalize on unseen data?

Which of these is a loss function?

Which optimizer is commonly used in deep learning?

Which AI technique is used in recommendation systems?

Which component of AI focuses on reasoning and problem solving?

Which library is used for deep learning?

Which measure is used for regression model performance?

GANs are mainly used for:

Which technique prevents overfitting?

Which AI branch deals with understanding images?

Which dataset is widely used for image recognition?

Which is NOT a reinforcement learning element?

Which neural network is good for sequential data?

Transfer learning helps in:

Which evaluation metric is used for imbalanced classification?

Which AI concept is used in self-driving cars?

Which search algorithm is used in AI problem solving?

Which is a characteristic of weak AI?

Which hardware accelerates deep learning computations?

Which is NOT an ensemble technique?

Which is an AI-based voice assistant?

What does TTS stand for in AI?

Which is an example of symbolic AI?

Which AI model achieved breakthroughs in NLP?

Which regularization technique adds penalty on weights?

Which type of learning is Google Translate based on?

Which is the final step in AI project lifecycle?

Which is an example of weak AI?

Which algorithm can be used for dimensionality reduction?

Which of these is an AI cloud service?

Which is the first step in building an AI project?

Which AI technique inspired AlphaGo?

Which search method uses heuristic estimates?

Which dataset is widely used for image classification challenges?

Which algorithm is widely used in recommendation systems?

Which is the main challenge of AI?

Which is NOT a characteristic of AI agents?

Which neural net is best for audio data?

Which evaluation metric considers both precision and recall?

Which method reduces overfitting in decision trees?

Which AI model is widely used for translation?

Which is NOT a deep learning framework?

Which part of reinforcement learning takes actions?

Which is a type of ensemble method?

Which AI term refers to learning from sequences?

Which model is an example of generative AI?

Which NLP task involves finding names of people/places?

What is dropout used for in deep learning?

Which type of reinforcement learning explores randomly?

Which term means AI explains its decisions?

Which optimization technique uses gradient descent?

Which AI approach relies on symbolic logic?

Which process adjusts weights in neural networks?

Which algorithm uses support vectors?

Which search method guarantees the shortest path?

What is "tokenization" in NLP?

What does the confusion matrix measure?

Which dataset is standard for sentiment analysis?

Which AI library is maintained by Facebook?

Which metric measures error in regression?

Which AI model is based on the "attention mechanism"?

Which type of AI can perform multiple tasks like humans?

Which method prevents vanishing gradients?

What is the role of the activation function in a neural network?

Which is an example of unsupervised learning?

Which concept in AI mimics brain synapses?

The process of teaching AI with labeled data is called:

Which algorithm is commonly used for spam email detection?

Which is an example of reinforcement learning in real life?

What does the term "black box model" mean in AI?

Which term refers to training a smaller model using a larger pre-trained model’s knowledge?

Which is an example of reactive AI?

Which algorithm is suitable for anomaly detection?

Which AI domain studies how to make computers understand speech?

Which is an example of structured data in AI?

Which is NOT a type of machine learning?

Which algorithm works on the principle of nearest neighbors?

Which language model introduced the "attention is all you need" concept?

Which is a challenge in NLP?

Which algorithm is widely used for image compression?

Which AI task is Google Translate an example of?

Which type of agent works with partial environment knowledge?

Which term describes the difference between predicted and actual values?

Which method is used to balance imbalanced datasets?

Which AI model is used for generating human-like text?

Which component of NLP is responsible for grammar?

Which function is used in logistic regression

Which of the following is an AI application in healthcare?

Which reinforcement learning algorithm is used in AlphaGo?

Which concept is used to avoid exploding gradients?

Which of these is NOT a clustering algorithm?

Which AI concept means continuous learning from new data?

Which evaluation metric is used in object detection?

Which is a symbolic representation technique in AI?

Which AI algorithm is based on Bayes’ theorem?

Which method improves generalization in neural networks?

Which algorithm is used for movie recommendation?

Which is a key challenge in reinforcement learning?

Which dataset is used in machine translation benchmarks?

Which neural network variant remembers long sequences?

Which AI concept simulates survival of the fittest?

Which type of learning occurs without labels?

Which NLP task involves sentence polarity detection?

Which type of AI can understand and perform multiple domains?

Which measure evaluates clustering quality?

Which is NOT a layer in neural networks?

Which algorithm is widely used in fraud detection?

Which AI model can generate synthetic images?

Which NLP task involves root form of words?

Which is NOT an activation function?

Which neural network is effective for video analysis?

Which is an example of prescriptive AI application?