Machine Learning Fundamentals: Supervised vs. Unsupervised Learning

Explore the differences between supervised and unsupervised machine learning and how AI can turn large datasets into valuable insights. Learn more about watsonx: https://ibm.biz/BdvDnY

Machine Learning Fundamentals: Supervised vs. Unsupervised Learning
IBM Technology
24.6K views β€’ Sep 19, 2022
Machine Learning Fundamentals: Supervised vs. Unsupervised Learning

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AI and machine learning can help transform a massive pile of data into useful insights. Understanding which branch of machine learning to use – supervised or unsupervised – is key to getting the most impactful analysis. IBM’s Mark Sturdevant identifies the key differences and explains concepts like clustering, regression analysis, and dimensionality reduction.

00:00 - Introduction
00:15 - Differences between supervised and unsupervised machine learning
1:02 - Supervised machine learning examples: binary classification, multi-class classification, and regression
3:13 - Unsupervised machine learning examples: clustering, association, and dimensionality reduction
5:05 - Which approach is right for you?
5:43 - Resources to help you get started

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24.6K

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606

Duration

6:13

Published

Sep 19, 2022

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