What is ensamble learning?
Friday, 19 April 2024
by Luca de Ruijter
Ensemble learning is a machine learning technique that involves combining multiple models to improve the overall performance and predictive power of the system. The basic idea behind ensemble learning is that by aggregating the predictions of multiple models, the resulting model can often outperform any of the individual models involved. There are several different approaches
- Published in Artificial Intelligence, EITC/AI/GCML Google Cloud Machine Learning, Introduction, What is machine learning
Tagged under:
Artificial Intelligence, Bagging, Boosting, Ensemble Learning, Gradient Boosting, Machine Learning, Random Forests
What is ensemble learning?
Tuesday, 12 March 2024
by Francesco Sottile
Ensemble learning is a machine learning technique that aims to improve the performance of a model by combining multiple models. It leverages the idea that combining multiple weak learners can create a strong learner that performs better than any individual model. This approach is widely used in various machine learning tasks to enhance predictive accuracy,
- Published in Artificial Intelligence, EITC/AI/GCML Google Cloud Machine Learning, Introduction, What is machine learning
Tagged under:
Artificial Intelligence, Bagging, Boosting, Ensemble Learning, Machine Learning, Stacking