data science
PulseAugur coverage of data science — every cluster mentioning data science across labs, papers, and developer communities, ranked by signal.
4 天有情绪数据
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SVM面试题：概念、核函数与比较
本系列文章通过一系列面试风格的问题深入探讨支持向量机（SVM），这是一种流行的机器学习算法。第一部分涵盖了决策边界、超平面以及最大化间隔背后的直觉等基础概念，并区分了硬间隔和软间隔分类器。第二部分在此基础上，探讨了核技巧、其威力、不同类型的核函数及挑战，以及SVM如何处理多分类问题以及与其他算法（如逻辑回归）的比较。
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数据科学作品集转向面向生产的应用程序
文章讨论了数据科学作品集不断发展的格局，强调了从传统的Jupyter Notebook转向面向生产的应用程序。文章指出，数据科学家需要展示在真实场景中部署和管理模型的技能，尤其是在企业中存在大量非结构化数据的情况下。作者认为，专注于面向生产的项目将对2026年的职业成功至关重要。
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Study: AI model adoption outpaces workflow feature use in life sciences
A recent study analyzing 903 sessions indicates a significant gap in how data science and life sciences teams utilize AI tools like Codex. While these teams rapidly adopt new AI models, they are failing to leverage the …
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Qiita articles explore AI's impact on coding, data science, and project management
Several articles from Qiita discuss the integration and implications of AI across various tech fields. One piece explores OpenAI's decision to offer Codex for free, questioning the strategic intent behind this move. Oth…
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调查探讨人工智能在心理健康和农业领域的应用，阐明人工智能与机器学习与深度学习的区别
两项最新调查探讨了人工智能和深度学习在不同领域的应用。一篇论文侧重于通过社交媒体检测精神障碍的可解释人工智能，强调了医疗保健人工智能透明度的必要性。另一项调查回顾了用于农作物、渔业和畜牧业的深度学习技术，强调了多模态数据集成和边缘设备部署等挑战和未来方向。此外，几篇文章讨论了人工智能、机器学习和深度学习之间的区别，通常附有实用的Python示例，而其他文章则强调了人工智能在农业和数据科学教育中的作用。
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Eugene Yan explores Agile and Scrum frameworks for data science effectiveness
Eugene Yan's articles explore the application of Agile and Scrum frameworks within data science teams, highlighting both their benefits and challenges. While Agile's iterative approach, clear task definition, and feedba…
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Eugene Yan shares how Lazada leverages data science for e-commerce
Eugene Yan, VP of Data Science, recently spoke at INSEAD about Lazada's application of data science and machine learning in e-commerce. He highlighted two key use cases: automated user review classification, which signi…