Vincent Granville lists several good articles on clustering. This resource is part of a series on specific topics related to data science. To receive notices about these kinds of articles, sign up on DSC.
Suni Kappal posts his list of the most common basic analytical and statistical mistakes. He divides his list into visualization errors and statistical blunders. See his blog entry at http://www.datasciencecentral.com/profiles/blogs/the-most-common-analytical-and-statistical-mistakes
An archive of all O’Reilly data ebooks is available at http://www.datasciencecentral.com/profiles/blogs/80-free-data-science-books for free download. Dive deep into the latest in data science and big data, compiled by O’Reilly editors, authors, and Strata speakers.
Here is a collection of a few excellent (and free!) statistics eBooks for your Kindle. Read more at http://www.datasciencecentral.com/profiles/blogs/5-free-statistics-ebooks-you-need-to-read-this-autumn
Laetitia Van Cauwenberge’s blog describes 11 important model evaluation techniques to assess goodness of fit between model and data. Read more at http://www.datasciencecentral.com/profiles/blogs/7-important-model-evaluation-error-metrics-everyone-should-know
Paul Black’s blog lists free web software tools to help extract data from the web, and structure data for storage and use. Read more at http://www.bigdatanews.com/profiles/blogs/top-30-free-web-scraping-software
This two-part blog provides background information, and 24 popular uses of statistical, data science, machine learning, optimization, graph theory, mathematical and operations research techniques. Read more at http://www.datasciencecentral.com/profiles/blogs/24-uses-of-statistical-modeling-part-ii
Linda Hofschire’s blog suggests ways to harnass data visualization to demonstrate library impact: https://americanlibrariesmagazine.org/2016/11/01/lets-get-visual-data-visualization/
She notes these steps:
- Identify your audience.
- Find your story.
- Select design tools.
- Share your data.
A blog for and by librarians interested in library assessment, evaluation, and improvement supported by the Association of Research Libraries
ACRL has released Meaningful Metrics: A 21st Century Librarian’s Guide to Bibliometrics, Altmetrics, and Research Impact by Robin Chin Roemer and Rachel Borchardt. This activity-filled book serves to introduce readers to the fast-paced world of research metrics from the perspective of academic librarians and LIS practitioners. It begins with the essential histories of bibliometrics and altmetrics, and continues with in-depth descriptions of the core tools and emerging issues at stake in the future of both fields