Glossary Series: Random Forest, Boosted Trees AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion
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- Technology
Sometimes for reasons such as improving performance or robustness it makes sense to create multiple decision trees and average the results to solve problems related to overfitting. Or, it makes sense to boost certain decision trees. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Random Forest and Boosted Trees, 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: Overfitting, Underfitting, Bias, Variance, Bias/Variance Tradeoff
AI Glossary Series: Ensemble Models
AI Glossary Series: Decision Trees
Glossary Series: Machine Learning Approaches: Supervised Learning, Unsupervised Learning, Reinforcement Learning
Glossary Series: Classification & Classifier, Binary Classifier, Multiclass Classifier, Decision Boundary
Glossary Series: Regression, Linear Regression
Sometimes for reasons such as improving performance or robustness it makes sense to create multiple decision trees and average the results to solve problems related to overfitting. Or, it makes sense to boost certain decision trees. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Random Forest and Boosted Trees, 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: Overfitting, Underfitting, Bias, Variance, Bias/Variance Tradeoff
AI Glossary Series: Ensemble Models
AI Glossary Series: Decision Trees
Glossary Series: Machine Learning Approaches: Supervised Learning, Unsupervised Learning, Reinforcement Learning
Glossary Series: Classification & Classifier, Binary Classifier, Multiclass Classifier, Decision Boundary
Glossary Series: Regression, Linear Regression
9 min