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  • 9 free books for learning data mining & data analysis

    This list compiled by Alex Ivanovs brings together a range of books aimed at both beginners and those who are looking to fill in gaps in their knowledge.
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  • Enhancing evaluation use: Insights from internal evaluation units

    This book, co-edited by Marlène Läubli Loud and John Mayne, offers invaluable insights from real evaluators who share strategies they have adopted through their own experiences in evaluation.
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  • Evaluative thinking

    This set of webpages and video from the Department of Education in New South Wales, Australia, provides background information on evaluative thinking and its use.
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  • The core of evaluation: Evaluative thinking

    This AEA365 blog by Tom Grayson provides a list of quotes from notable evaluation colleagues about the importance of evaluative thinking.
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  • Evaluative thinking: SAMEA webinar

    In this webinar on evaluative thinking, Thomas Schwandt explores two perspectives on the topic.
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  • Data mining

    Data mining is the systematic process of discovering patterns in data sets through the use of computer algorithms.
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  • An introduction to data mining

    This webpage, produced by Kurt Thearling, provides an extensive overview of data mining and its applications. The page includes specific examples and links to a tutorial and research papers on data mining.
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