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Cai Cai's Machine Learning Sklearn Class: Understandable from Scratch, from Model ...

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to ...

Researchers Propose a Novel Representation Learning Framework to Address the Lack of Causal ...

Recently, researchers introduced a new representation learning framework that integrates causal inference with graph neural networks—CauSkelNet, which can be used to model the causal relationships and ...
Analytics Insight

Top Regression Techniques Every Data Scientist Should Learn

Overview Regression explains how changes in one factor influence another with clarity.Each regression type is suited for ...
IEEE

Multi-Dimensional Time Series Anomaly Detection Model Based on Transformer and GAN for Oil ...

Abstract: This paper introduces the application of temporal data anomaly monitoring and prediction in oil and gas field production data management. By proposing a Transformer-based DMRformer model and ...