LightGBM
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What is LightGBM?
LightGBM is a gradient boosting framework developed by Microsoft. It's designed to be distributed and efficient, with faster training speeds and higher efficiency compared to other boosting algorithms. LightGBM uses tree-based learning algorithms and supports parallel and GPU learning. It's commonly used for classification, regression, and ranking tasks, particularly when dealing with large datasets.
What other technologies are related to LightGBM?
LightGBM Competitor Technologies
XGBoost
XGBoost is another gradient boosting framework that competes with LightGBM in terms of performance and features for machine learning tasks.
CatBoost
CatBoost is a gradient boosting library that, similar to LightGBM and XGBoost, competes in the machine learning space, particularly known for its handling of categorical features.
Random Forest
Random Forest is another ensemble learning method that, while different from gradient boosting, serves as a competitor for many machine learning classification and regression tasks.
SVM
SVM is a classification algorithm, and thus is a competitor for LightGBM in classification tasks.
GLM
GLM is a regression algorithm, and thus a competitor for LightGBM in regression tasks.
Random Forests
Random Forests is another ensemble learning method that, while different from gradient boosting, serves as a competitor for many machine learning classification and regression tasks.
Logistic Regression
Logistic Regression is a classification algorithm, and thus is a competitor for LightGBM in classification tasks.
Number of organizations that mention technology
683
LightGBM
2,669
XGBoost
248
CatBoost
1,677
Random Forest
1,368
SVM
503
GLM
673
Random Forests
1,081
Logistic Regression
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LightGBM Complementary Technologies
scikit-learn
Scikit-learn provides tools for model selection, preprocessing, and evaluation that can be used in conjunction with LightGBM models. It also offers alternative models.
SHAP
SHAP (SHapley Additive exPlanations) is a framework to explain the output of any machine learning model. It can be used to interpret LightGBM models.
Pandas
Pandas is a data manipulation and analysis library commonly used for preparing data before training a LightGBM model.
Number of organizations that mention technology
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Which job functions commonly mention LightGBM?
Machine Learning
0.5% of all Machine Learning jobs mention LightGBM
View 538
jobs on Sumble
MLOps Engineer
0.4% of all MLOps Engineer jobs mention LightGBM
View 36
jobs on Sumble
Data Scientist
0.4% of all Data Scientist jobs mention LightGBM
View 968
jobs on Sumble
AI Engineer
0.1% of all AI Engineer jobs mention LightGBM
View 105
jobs on Sumble
Data, Analytics & Machine Learning
0.1% of all Data, Analytics & Machine Learning jobs mention LightGBM
View 1.6k
jobs on Sumble
Which organizations are mentioning LightGBM?
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