9 min

Glossary Series: Random Forest, Boosted Trees AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion

    • 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

Top Podcasts In Technology

#heiseshow (Audio) - Technik-News und Netzpolitik
heise online
FT Tech Tonic
Financial Times
In Her Ellement
Boston Consulting Group BCG
Bits und so
Undsoversum GmbH
TED Radio Hour
NPR
This Week in Startups
Jason Calacanis