The advantage of Python is that you can apply operations to larger datasets with hundreds, even thousands, of data points ...

Overview: Pandas works best for small or medium datasets with standard Python libraries.Polars excels at large data with ...

Microsoft enhances the Researcher agent in M365 Copilot with 'Computer Use,' a feature that uses a secure VM to automate ...

These simple operations and others are why NumPy is a building block for statistical analysis with Python. NumPy also makes ...

特产推荐系统的本质，是通过技术的力量解决“信息不对称”与“需求不匹配”的矛盾，让游客更轻松地发现心仪的地域宝藏，让生产者更精准地触达目标客群。Python凭借其强大的数据处理与建模能力，不仅为这一目标提供了可行的技术路径，更让“智能推荐”从概念走向了 ...

Altair, a global leader in computational intelligence, today announced major updates across Altair® RapidMiner®, its data ...

This important and compelling study establishes a robust computational and experimental framework for the large-scale identification of metallophore biosynthetic clusters. The work advances beyond ...

上周写了两篇关于GEPA的文章《Agent多步误差咋破？看下GEPA，反思自进化+帕累托前沿，超过DSPy的MIPROv2》《别被提示词优化困住！用DSPy.GEPA把Prompt做成可演进的工程（万字长文)》，有不少朋友还是很困惑。GEPA（Gen ...

上面代码生成的数据可能跟原始数据匹配得很好，但是却缺少变化，覆盖不到生产环境可能出现的一些组合。有几种办法可以调节真实度和约束程度。可以换个比随机森林更强或更弱的模型来生成预测，或者调它的超参数。比如随机森林可以调树的最大深度 (max depth) ...