在2024年Kaggle AutoML大奖赛中，一支由自动化智能体组成的团队以独特的技术路径脱颖而出。这项汇聚全球顶尖AutoML从业者的赛事，最终由一支完全依赖零代码框架的队伍斩获第十名，成为唯一获得积分的自动化参赛者。该成果不仅验证了技术路线的可行性，更引发业界对机器学习开发范式变革的深入思考：当模型选择、超参数调优乃至编码工作均可被系统自动完成时，机器学习的门槛是否将彻底消失？

在2024年Kaggle ...

当前有两大趋势，一是 AutoML（自动机器学习），像 auto-sklearn 这样的系统能自动搜索模型族、超参数和预处理步骤。二是自动化时间序列特征提取，像 tsfresh ...

Overview: Python and SQL form the core data science foundation, enabling fast analysis, smooth cloud integration, and ...

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Abstract: Machine learning (ML) has been widely adopted in modern software, but the manual configuration of ML (e.g., hyper-parameter configuration) poses a significant challenge to software ...

Abstract: The popularity of automated machine learning (AutoML) tools in different domains has increased over the past few years. Machine learning (ML) practitioners use AutoML tools to automate and ...

AutoML for Embedded, developed by Analog Devices (ADI) and Antmicro, is an open-source plugin for Visual Studio Code that works alongside ADI’s CodeFusion Studio plugin. Built on the Kenning framework ...

Artificial intelligence (AI) is rapidly moving to the edge with demand for intelligent edge devices exploding, but many developers still struggle to fit powerful models onto tiny microcontrollers.

The classification models built on class imbalanced data sets tend to prioritize the accuracy of the majority class, and thus, the minority class generally has a higher misclassification rate.

Automated Machine Learning has become essential in data-driven decision-making, allowing domain experts to use machine learning without requiring considerable statistical knowledge. Nevertheless, a ...