Supervised vs. Unsupervised Learning: Key Differences and Applications

In this episode of AI Explained, we explore the concepts of supervised and unsupervised learning, highlighting their differences and discussing when to use each method.

Supervised vs. Unsupervised Learning: Key Differences and Applications
Moveworks
3.3K views • Apr 25, 2023
Supervised vs. Unsupervised Learning: Key Differences and Applications

About this video

In this episode of AI Explained, we'll explore what supervised and unsupervised learning is, what the differences are and when each method should be used.

For a more in-depth understanding of the differences, read our blog: https://www.moveworks.com/insights/supervised-vs-unsupervised-learning-whats-the-difference
For additional definitions visit our AI Term Glossary: https://www.moveworks.com/insights/ai-terms-glossary

#supervisedlearning #unsupervisedlearning #llms

About Moveworks:
Moveworks is the agentic AI Assistant to empower your entire workforce.
It unifies every business system with natural language, giving employees one place to go to find information, automate tasks, and be more productive, increasing employee efficiency and satisfaction by streamlining everyday tasks.
Powered by an agentic AI infrastructure that leverages the world’s most advanced LLMs and our proprietary MoveLM models, the Moveworks AI Assistant understands employee requests, devises intelligent plans to achieve them, and then executes actions to complete tasks across application boundaries.
The world’s most recognizable brands like Databricks, Broadcom, Hearst, and Palo Alto Networks trust Moveworks to automate repetitive support issues, to provide a universal search interface, and for common use cases across different applications.

Subscribe to Moveworks' YouTube channel for more updates and videos covering agentic AI: https://www.youtube.com/@Moveworks

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Video Information

Views

3.3K

Likes

44

Duration

1:27

Published

Apr 25, 2023

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