Machine Learning Quiz

What is it called when a human trains a model to learn with examples?

• Unsupervised Learning

• Supervised Learning

• Training

• Labeling

Answer explanation

When a human trains a model using labeled examples, it is called Supervised Learning. This method involves providing the model with input-output pairs to learn from, enabling it to make predictions on new data.

What is a computer program designed to make a decision called?

• Model

• Feature

• Label

• Training

Answer explanation

A computer program designed to make a decision is called a 'Model'. In machine learning, a model is trained on data to make predictions or decisions based on input, distinguishing it from features, labels, or training processes.

What is the process of giving examples to a model so it can learn called?

• Labeling

• Unsupervised Learning

• Training

• Modeling

Answer explanation

The process of giving examples to a model so it can learn is called Training. During training, the model adjusts its parameters based on the provided examples to improve its performance on tasks.

What is finding patterns in data that doesn't have any labels called?

• Supervised Learning

• Unsupervised Learning

• Training

• Labeling

Answer explanation

Finding patterns in unlabeled data is known as Unsupervised Learning. Unlike Supervised Learning, which uses labeled data, Unsupervised Learning identifies hidden structures without predefined categories.

In _________ model keeps on increasing its performance using a Reward Feedback to learn the behavior or pattern

• clustering

• reinforcement learning

• semi supervised

• reinforcement

What is Reinforcement learning?

• All data is unlabelled and the algorithms learn to inherent structure from the input data

• All data is labelled and the algorithms learn to predict the output from the input data

• It is a framework for learning where an agent interacts with an environment and receivesa reward for each interaction

• Some data is labelled but most of it is unlabelled and a mixture of supervised andunsupervised techniques can be used.

What are different types of machine learning?

• Supervised, Unsupervised, and Reinforcement

• Automatic, Manual, and Hybrid

• Cognitive, Behavioral, and Analytical

• Static, Dynamic, and Interactive

What is a Model in the context of AI and Machine Learning?

• A representation of a real-world process

• A computer program designed to make a decision

• A mathematical equation

• A type of computer hardware

What is Unsupervised Learning in the context of AI and Machine Learning?

• A) A method of teaching machines using labeled data

• B) Finding patterns in data that doesn't have any labels

• C) A supervised method that requires human intervention

• D) A type of learning where the model makes no decisions

What does Supervised Learning refer to in the context of AI and Machine Learning?

• When a model learns without any guidance or examples.

• When a model is trained by a human using examples.

• When a model learns only from text-based data.

• When a model self-improves through trial and error without human intervention.