Why ensemble learning?
wisdom of the crowd : In many cases you will find that this aggregated answer is better than an expert’s answer. Similarly, if you aggregate the predictions of a group of predictors (such as classifiers or regressors), you will often get better predictions than with the best individual predictor.
2020-11-07
Unsupervised Learning
Learn patterns from untagged data.
2020-09-07
Non-parametric Machine Learning Alogrithms
Do not make strong assumptions about the form of the mapping function or data distribution.
2020-09-07
Ensemble Learning
Use multiple learning algorithms to obtain better predictive performance than could be obtained from any of the constituent learning algorithms alone.
2020-09-07
Decision Trees
A non-parametric supervised learning method used for classification and regression.
2020-09-07
Classification
Assign a class label to imput sample.
2020-09-07
Machine Learning (ML)
The study of computer algorithms that can improve automatically through experience and by the use of data..
2020-09-07
Regression
Describe the relationship between one or more independent variables and a response, dependent, or target variable.
2020-09-07
Model Selection
How to properly select a Machine Learning model.
2020-09-07
Machine Learning Fundamentals
Basic knowledge of Machine Learning.
2020-09-07