Summary One page 2 side cheatsheet DataScience & Society
This two-page Data Science and Statistics (DSS) Cheat Sheet is designed to support students preparing for the INFOMDSS open book exam, providing a focused yet comprehensive overview of essential clustering, classification, and evaluation metrics. With quick-reference explanations of key concepts—such as clustering methods (K-means, DBSCAN), performance metrics (Silhouette Index, ROC curves), and data quality measures—this cheat sheet is also a valuable resource for other data science courses. Its clear layout and depth make it an effective study aid and a handy reference for mastering foundational data science concepts. Which is perfect for open book exams.
Connected book
- Unknown
- 9780134633282
- 4
Written for
- Institution
- Universiteit Utrecht (UU)
- Study
- Master Business Informatics
- Course
- Data Science and Society (INFOMDSS)
Document information
- Summarized whole book?
- Yes
- Uploaded on
- November 5, 2024
- Number of pages
- 3
- Written in
- 2024/2025
- Type
- Summary
Subjects
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similarity
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warehousing
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data transformation
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data preparation
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semma
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gdpr
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ethics
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crispdm
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bayes theorem
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clustering
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classification
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linkage
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entropy