Machine Learning Principles

Which of the following types of machine learning uses labeled data for training?

• Supervised Learning
  

• Unsupervised Learning

• Reinforced Learning
  

• Deep Learning
  

What is the key characteristic of unsupervised learning?

• Using labeled data to make predictions.
  

• Discovering patterns in data without labels.

• Interacting with an environment to maximize rewards

• Processing data through multiple neural network layers

Which type of machine learning involves neural networks with successive layers for learning

• Reinforced Learning

• Supervised Learning

• Unsupervised Learning

• Deep Learning

What is supervised learning?

• A system that processes data without prior labeling.

• A system where an agent interacts with an environment to learn.

• A learning model built from labeled training data to make predictions

• A neural network that processes unlabeled data iteratively.

Which task is an example of supervised learning?

• Detecting spam emails using a labeled dataset of spam and non-spam emails.

• Grouping similar products based on features without labels.

• Teaching a robot to balance using trial and error

• Identifying patterns in financial data without labeled categories

What is the focus of unsupervised learning?

• Using labeled data to train models.
  

• Discovering patterns in unlabeled data.

• Maximizing rewards in an environment.

• Learning from multi-layered neural networks

Which of the following is an example of unsupervised learning?

• Predicting housing prices based on labeled datasets.

• Training a model to play a game through rewards and penalties

• Using labeled images to detect objects in a picture.

• Clustering customers based on purchase patterns without predefined labels.

What is the primary goal of reinforcement learning?

• To categorize data into clusters without labels.

• To use labeled data to predict outcomes.

• To train an agent to interact with an environment to maximize rewards.

• To process data using multi-layered neural networks.

What is the role of the agent in reinforcement learning?

• It categorizes data into clusters without labels.

• It takes actions within an environment to achieve goals.

• It processes labeled data for classification.

• It identifies patterns in unlabeled datasets

What is deep learning?

• A type of machine learning that uses rewards to improve models

• A type of machine learning that builds models using successive layers of neural networks

• A type of machine learning that relies solely on labeled data for predictions.

• A type of machine learning focused on grouping unlabeled data.