本期npj Artificial Intelligence推送的四篇论文，共同描绘了人工智能技术深耕复杂系统与垂直领域的图景：它们将以大模型架构创新与底层数理理论为内核、更加具备动态预测的稳定性、更加契合特定人群的交互需求，在智慧医疗、通信纠错码设计 ...

Overview:  Master R programming faster with real-world projects that build practical data science skillsFrom stock market ...

Once upon a time, summer was a season. Now it’s a land grab, swallowing April, squatting on August, poking at September.

4月22日，CLI-Anything/Nanobot团队负责人黄超老师，HiClaw项目发起人、阿里云智能高级解决方案架构师付宇轩，中科大副研究员程明月，Zilliz工程总监陈彪，趋境科技副总裁关嘉伟，ThesisAgent创始人刘思源6位嘉宾将在O ...

Abstract: Time series forecasting plays a crucial role in cloud computing resource management. However, existing models often struggle to balance prediction accuracy with computational efficiency when ...

Abstract: Time series forecasting is widely used in finance, meteorology, and industrial systems. Although existing methods have made progress in modeling trends and periodicity, they still face ...

SmurphCast – percentage‑first time‑series forecasting (churn, CTR, conversion, retention) with additive + GBM + ES‑RNN stacking and automatic model selection. 100 % Python, CPU‑friendly, explainable.

A comprehensive time series analysis project that uses various forecasting techniques to predict book sales and demand patterns. This project analyzes historical sales data from Nielsen BookScan to ...

In this tutorial, we build an advanced agentic AI system that autonomously handles time series forecasting using the Darts library combined with a lightweight HuggingFace model for reasoning. We ...

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