Which technique utilizes machine learning algorithms to automatically detect outliers?Review LaterScatter PlotsHistogramsEye TestMachine Learning Assist

Breakdown the Problem

To determine which technique employs machine learning algorithms for automatic outlier detection, let's analyze the options provided.

1. Scatter Plots
2. Histograms
3. Eye Test
4. Machine Learning Assist

Relevant Concepts

• Scatter Plots and Histograms are visual methods for analyzing data but do not inherently involve machine learning.
• Eye Test refers to human judgment, which is subjective and not based on algorithms.
• Machine Learning Assist suggests the use of algorithms to analyze data, which aligns closely with outlier detection.

Analysis and Detail

Outlier detection using machine learning typically involves algorithms such as Isolation Forest, One-Class SVM, or DBSCAN. These methods can automatically identify data points that differ significantly from the majority of the dataset.

Verify and Summarize

After reviewing the options, it's clear that only Machine Learning Assist explicitly refers to a method that involves machine learning algorithms for outlier detection.

Final Answer

The technique that utilizes machine learning algorithms to automatically detect outliers is Machine Learning Assist.