Tech Insights

GBMs

Last updated May 16, 2025, generated by Sumble

What is GBMs?

GBMs (Gradient Boosting Machines) are a machine learning technique used for regression and classification tasks. They work by combining multiple weak learners (typically decision trees) sequentially, where each new tree corrects the errors made by the previous ones. The 'gradient' in the name refers to the gradient descent algorithm used to minimize the loss function during the boosting process. GBMs are commonly used in various applications, including fraud detection, ranking, and prediction.

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What other technologies are related to GBMs?

GBMs Competitor Technologies

Elastic Net GLMs

Elastic Net GLMs are a regression technique that, like GBMs, are used for prediction and modeling relationships in data, serving as an alternative predictive model.

mentioned alongside GBMs in 94% (132) of relevant job posts

Neural Nets

Neural Networks are a powerful machine learning algorithm that can perform similar tasks to GBMs, such as classification and regression, but use a different approach.

mentioned alongside GBMs in 19% (125) of relevant job posts

GLMs

Generalized Linear Models (GLMs) are a class of models that can be used for regression and classification, offering a different modeling approach than GBMs.

mentioned alongside GBMs in 22% (102) of relevant job posts

Random Forests

Random Forests are an ensemble learning method that, like GBMs, combines multiple decision trees to improve prediction accuracy and generalization, acting as an alternative ensemble method.

mentioned alongside GBMs in 9% (186) of relevant job posts

GAMS

Generalized Additive Models (GAMs) offer a different approach to modeling relationships, allowing for non-linear relationships between predictors and the response variable, similar to what GBMs can achieve.

mentioned alongside GBMs in 7% (144) of relevant job posts

Logistic Regression

Logistic Regression is a specific type of GLM used for binary classification, offering a simpler and more interpretable alternative to GBMs in such tasks.

mentioned alongside GBMs in 3% (146) of relevant job posts

GBMs Complementary Technologies

decision trees

Decision trees are the base learners used in GBMs. GBMs build upon the concept of Decision Trees by combining many trees to make a prediction, thus, Decision Trees are strongly complementary to GBMs.

mentioned alongside GBMs in 3% (146) of relevant job posts