From the course: AWS Certified AI Practitioner (AIF-C01) Cert Prep

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Question breakdown, part 1

Question breakdown, part 1 - Amazon Web Services (AWS) Tutorial

From the course: AWS Certified AI Practitioner (AIF-C01) Cert Prep

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Question breakdown, part 1

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- [Instructor] Welcome, in this question breakdown, we are going to look at a scenario that involves machine learning techniques. Let's go ahead and read the question. A company has a requirement to build an application which predicts house prices based on multiple features, such as square footage, number of bathrooms, and whether it has a basement. Which machine learning technique would be appropriate to meet this requirement? Now, this is a relatively short question scenario and also relatively short answer choices. We just need to make sure that we either know the difference between these, or we can identify based on these and basic definitions if there are some that we could potentially eliminate to get closer to being able to guess the right answer. And so let's go ahead and dig through our answer choices. We'll start with clustering. Clustering is unsupervised learning, and it's used for just grouping similar data points together based on characteristics, which almost sounds…

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