Microsoft Azure AI Fundamentals AI-900 Practice Question
As a data scientist at a financial institution, you are tasked with estimating the future value of investments using historical performance data, market trends, and economic indicators.
Which type of machine learning technique should you apply?
Regression - This is the correct answer. Regression is the most suitable technique for estimating the future value of investments based on historical data, market trends, and economic indicators. Regression models are used to predict continuous numerical values, making them ideal for tasks like forecasting future investment values.
Classification is used for categorizing data into predefined labels or classes (e.g., spam vs. non-spam), not for predicting continuous values like the future value of investments.
Clustering is an unsupervised learning technique used to group similar data points, but it is not suited for predicting numerical outcomes such as investment values.
Association Rule Learning is used for discovering interesting relationships or patterns in data (e.g., in market basket analysis) but is not appropriate for predicting continuous variables like investment values.
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Microsoft Azure AI Fundamentals AI-900
Describe Fundamental Principles of Machine Learning on Azure
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