Types of Machine Learning Algorithms

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What is the main difference between supervised and unsupervised learning?

Supervised learning trains models based on a combination of labeled and unlabeled data, while unsupervised learning uses only labeled data.
Supervised learning uses labeled data, while unsupervised learning uses unlabeled data. (correct)
Supervised learning classifies new samples by similarity, while unsupervised learning groups objects based on similarities.
Supervised learning builds models based on similarities, while unsupervised learning uses reinforcement signals.

Which type of learning involves learning behavior from the environment to maximize rewards?

Reinforcement learning (correct)
Supervised learning
Unsupervised learning
Semi-supervised learning

In semi-supervised learning, how is the model trained?

A combination of a small amount of labeled data and a large amount of unlabeled data (correct)
Using reinforcement signals
Grouping objects based on similarities
Using only labeled data

Which type of learning provides scalar reinforcement signals to evaluate actions?

Reinforcement learning (A) Signup and view all the answers

What is the focus of self-supervised learning in machine learning evolution?

Training on unlabeled data to predict part of itself (B) Signup and view all the answers

In machine learning, what does regression primarily reflect?

Sample attributes in a dataset (C) Signup and view all the answers

What is the purpose of regularization methods in machine learning?

To reduce the number of features in the model (D) Signup and view all the answers

In the context of machine learning, what is an Embedded method known for?

Selecting the most appropriate feature subset (A) Signup and view all the answers

What is one of the key uses of a classification model in supervised learning?

To determine categories or labels for given data based on existing features (A) Signup and view all the answers

What is the purpose of the training set in supervised learning?

To determine relationships between features and targets (C) Signup and view all the answers

In machine learning, what is the challenge often associated with semi-supervised learning?

Balancing between labeled and unlabeled data effectively (B) Signup and view all the answers

What does unsupervised learning primarily focus on?

Finding patterns and relationships in data without predefined categories (B) Signup and view all the answers

What is the primary purpose of using a function in machine learning?

To express the sample mapping relationship and discover the dependency between attributes (C) Signup and view all the answers

Which type of machine learning is used to classify emails as spam or non-spam?

Supervised learning (C) Signup and view all the answers

In the context of unsupervised learning, what is the primary goal of the clustering algorithm?

To classify samples in a dataset into several categories based on similarity (C) Signup and view all the answers

Which machine learning technique is used to recommend movies for users based on their previous preferences?

Unsupervised learning (C) Signup and view all the answers

What is the primary difference between supervised and unsupervised learning?

Supervised learning uses labeled data, while unsupervised learning uses unlabeled data (B) Signup and view all the answers

Which machine learning technique is used to learn from experience and improve performance on a specific task?