Gradient Boosting

IT Services Circle

Mar 6, 2024 · Artificial Intelligence

Comprehensive Overview of Ten Regression Algorithms with Core Concepts and Code Examples

This article provides a comprehensive summary of ten regression algorithms—including linear, ridge, Lasso, decision tree, random forest, gradient boosting, SVR, XGBoost, LightGBM, and neural network regression—detailing their principles, advantages, disadvantages, suitable scenarios, and offering core Python code examples for each.

Gradient BoostingPythonmachine learning

0 likes · 33 min read

Comprehensive Overview of Ten Regression Algorithms with Core Concepts and Code Examples

AntTech

Aug 16, 2023 · Information Security

Ant Group Research Institute Presents Two First-Author Papers at USENIX Security 2023 on Secure MPC for GBDT Training and Efficient 3PC for Binary Circuits

At the 32nd USENIX Security Symposium in Anaheim, Ant Group’s Research Institute sponsored the event and showcased two first‑author papers—one introducing the Squirrel framework for fast, secure two‑party computation of Gradient Boosting Decision Trees, and another proposing an efficient 3‑party protocol for binary circuits in maliciously‑secure DNN inference.

DNN InferenceGradient BoostingMPC

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Ant Group Research Institute Presents Two First-Author Papers at USENIX Security 2023 on Secure MPC for GBDT Training and Efficient 3PC for Binary Circuits

Model Perspective

Oct 1, 2022 · Artificial Intelligence

Boost Your Models with LightGBM: Fast, Accurate Gradient Boosting in Python

This article introduces LightGBM, a high‑performance gradient boosting framework, explains its advantages over XGBoost, and provides step‑by‑step Python code for building classification and regression models on the Iris dataset, including model training, evaluation, and visualizing feature importance and tree structures.

Gradient BoostingLightGBMPython

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Boost Your Models with LightGBM: Fast, Accurate Gradient Boosting in Python

Tencent Advertising Technology

May 28, 2018 · Artificial Intelligence

Winning Approach of the Tencent Advertising Algorithm Competition: Feature Engineering, Model Selection, and Future Work

The team from Jilin University, Harbin Institute of Technology, and Beijing University of Posts and Telecommunications shares their winning strategy for the Tencent Advertising Algorithm Competition, detailing their feature engineering, model selection, and future work to handle large‑scale data challenges.

Gradient BoostingTencentadvertising

0 likes · 4 min read

Winning Approach of the Tencent Advertising Algorithm Competition: Feature Engineering, Model Selection, and Future Work

Qunar Tech Salon

Apr 3, 2018 · Artificial Intelligence

An Introduction to Gradient Boosting Decision Trees (GBDT) and Its Applications in Consumer Finance

Gradient Boosting Decision Tree (GBDT) is an ensemble learning method that combines additive and gradient boosting, detailed with its mathematical foundations, regression and classification algorithms, implementation using scikit‑learn, and a real‑world consumer‑finance fraud detection case achieving high AUC and KS metrics.

Consumer FinanceGBDTGradient Boosting

0 likes · 11 min read

An Introduction to Gradient Boosting Decision Trees (GBDT) and Its Applications in Consumer Finance