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tabular data

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GuanYuan Data Tech Team
GuanYuan Data Tech Team
Jun 16, 2022 · Artificial Intelligence

How Deepchecks Automates Data and Model Validation for Reliable AI Pipelines

This article introduces the open‑source Deepchecks library, explains its core concepts of checks, conditions, and suites, and provides step‑by‑step tutorials for data validation, train‑test validation, and model evaluation to help AI engineers build robust, data‑centric machine‑learning workflows.

Pythondata validationdeepchecks
0 likes · 15 min read
How Deepchecks Automates Data and Model Validation for Reliable AI Pipelines
DataFunTalk
DataFunTalk
Sep 11, 2019 · Artificial Intelligence

AutoML for Tabular Data: Research, Techniques, and Applications

This talk presents the research and practical deployment of AutoML for tabular data, covering background, automated feature engineering and selection, hyper‑parameter optimization, the AutoCross feature‑crossing system, case studies, and future directions, demonstrating its advantages over Google Cloud AutoML on multiple Kaggle competitions.

AutoMLHyperparameter Optimizationfeature engineering
0 likes · 14 min read
AutoML for Tabular Data: Research, Techniques, and Applications