Podcast: Play in new window | Embed

Subscribe: Apple Podcasts | Google Podcasts | Spotify | Amazon Music | Email | TuneIn | Deezer | RSS

There are many algorithms that can be used for classification and it’s important to at least know them at a high level. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Support Vector Machine & Kernel Method, and explain how they relate to AI and why it’s important to know about them.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary
• Glossary Series: Artificial Intelligence
• AI Glossary Series – Machine Learning, Algorithm, Model
• Glossary Series: Prediction, Inference, and Generalization
• Glossary Series: Classification & Classifier, Binary Classifier, Multiclass Classifier, Decision Boundary
• Glossary Series: Symbolic Systems & Expert Systems (and fuzzy logic)
• Glossary Series: Overfitting, Underfitting, Bias, Variance, Bias/Variance Tradeoff