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blog.ephorie.de
| | debrouwere.org
5.0 parsecs away

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| | [AI summary] The article discusses the limitations of traditional descriptive statistics like the mean, standard deviation, and correlation, advocating for more intuitive and robust measures. It emphasizes the importance of understanding data through alternative metrics such as medians, interquartile ranges, and percentile ranks, which are better suited for interpretation and communication. The piece also addresses the challenges of working with skewed data, outliers, and high-dimensional datasets, suggesting practical approaches like histograms and robust statistical methods. The author highlights the need for descriptive statistics to be more user-friendly and accessible, rather than being primarily focused on inferential analysis.
| | sebastianraschka.com
3.5 parsecs away

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| | I'm Sebastian: a machine learning & AI researcher, programmer, and author. As Staff Research Engineer Lightning AI, I focus on the intersection of AI research, software development, and large language models (LLMs).
| | www.analyticsvidhya.com
4.9 parsecs away

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| | Outlier is an object that deviates significantly from the rest of the object collection. Learn about how to deal with outliers
| | shiftsync.tricentis.com
15.1 parsecs away

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| In the fast-evolving landscape of software development, the integration of artificial intelligence (AI) has emerged as a game-changer, particularly in t...