Aprendizaje Automático 2021 - Fing - Udelar Aprendizaje No Supervisado
Aprendizaje No Supervisado Transcript and Lesson Notes
Se presentan Clustering (en particular, el algoritmo k-means) y Principal component Analysis.
Quick Summary
Se presentan Clustering (en particular, el algoritmo k-means) y Principal component Analysis.
Key Takeaways
- Review the core idea: Se presentan Clustering (en particular, el algoritmo k-means) y Principal component Analysis.
- Understand how aprendizaje fits into Aprendizaje No Supervisado.
- Understand how supervisado fits into Aprendizaje No Supervisado.
- Understand how automático fits into Aprendizaje No Supervisado.
- Understand how 2021 fits into Aprendizaje No Supervisado.
Key Concepts
Full Transcript
Se presentan Clustering (en particular, el algoritmo k-means) y Principal component Analysis.
Lesson FAQs
What is Aprendizaje No Supervisado about?
Se presentan Clustering (en particular, el algoritmo k-means) y Principal component Analysis.
What key concepts are covered in this lesson?
The lesson covers aprendizaje, supervisado, automático, 2021, fing.
What should I learn before Aprendizaje No Supervisado?
Review the previous lessons in Aprendizaje Automático 2021 - Fing - Udelar, then use the transcript and key concepts on this page to fill any gaps.
How can I practice after this lesson?
Practice by applying the main concepts: aprendizaje, supervisado, automático, 2021.
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