Discover which option among clustering, regression, correlation, and outlier detection is a supervised learning algorithm. Learn about supervised learning and its applications in data science.
Table of Contents
Question
Which of the following is a supervised learning algorithm?
A. Clustering
B. Regression
C. Correlation
D. Outlier detection
Answer
B. Regression
Explanation
Supervised learning is a category of machine learning where algorithms are trained on labeled datasets. In this context, “labeled” means that each training example is paired with an output label, allowing the algorithm to learn the relationship between inputs and their corresponding outputs. The primary goal of supervised learning is to make predictions or classifications based on new, unseen data.
Types of Supervised Learning Algorithms
Supervised learning can be divided into two main types:
- Classification: This involves predicting categorical labels. For example, determining whether an email is spam or not.
- Regression: This involves predicting continuous values. For instance, predicting house prices based on various features like size, location, and number of bedrooms.
Among the options provided:
A. Clustering: This is an unsupervised learning technique used to group similar data points together without labeled outputs.
B. Regression: This is indeed a supervised learning algorithm used for predicting continuous outcomes based on input features.
C. Correlation: While it measures the relationship between variables, it is not an algorithm but rather a statistical concept.
D. Outlier detection: This can be performed using both supervised and unsupervised methods but does not specifically refer to a supervised learning algorithm.
In summary, regression is a fundamental supervised learning algorithm used widely across various fields such as finance, healthcare, and marketing to predict continuous outcomes based on historical data. Understanding these concepts is crucial for anyone preparing for the APMG International Certified Enterprise Big Data Professional (EBDP) certification exam, as it lays the foundation for more advanced topics in data analysis and machine learning.
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