AIML

What is the primary goal of artificial intelligence (AI)?

• Mimicking human intelligence

• Automating manual tasks

• Solving complex equations

• Enhancing computer security

Machine learning is a subset of which field?

• Robotics

• Artificial Intelligence

• Computer Hardware

• Natural Language Processing

In supervised learning, what is used to train a machine learning algorithm?

• Labeled Data

• Unlabeled Data

• Random Data

• No data is required because it is the part of AI

Which type of learning involves finding patterns in unlabeled data?

• Reinforcement Learning

• Unsupervised Learning

• Supervised Learning

• Semi-supervised learning

What is a neural network in the context of deep learning?

• A network of interconnected human neurons

• A computational model inspired by the brain

• A network that connects computers in a data center

• A hardware device used for memory storage

What is the purpose of a loss function in machine learning?

• To increase the model's accuracy

• To speed up the training process

• To measure the model's error

• To define the output of the model

Which of the following is not a popular machine learning library or framework?

• TensorFlow

• PyTorch

• Keras

• Microsoft Word

What is overfitting in machine learning?

• Achieving high model accuracy

• Fitting the model to the training data too closely

• Underutilizing the training data

• Reducing the model's complexity

Which of the following is a common algorithm used for natural language processing (NLP) tasks?

• QuickSort

• BERT

• Gaussian Naive Bayes

• Principal Component Analysis (PCA)

What is reinforcement learning in the context of AI, and provide an example application?

• Reinforcement learning is the process of training AI models with supervised data. An example application is image classification.

• Reinforcement learning is the process of training AI models with labeled data. An example application is autonomous driving.

• Reinforcement learning is the process of learning from interaction with an environment to maximize rewards. An example application is training a robot to play chess.

• Reinforcement learning is the process of using pre-defined rules to make AI decisions. An example application is spam email filtering.