Computational thinking: just enough math
"This event introduces advanced math for business people --"just enough" to take advantage of open source frameworks -- including graph theory, abstract algebra, optimization, bayesian statistics, and more advanced areas of linear algebra. These are needed for supply chain optimizatio...
Gespeichert in:
Beteilige Person: | |
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Körperschaft: | |
Format: | Elektronisch Video |
Sprache: | Englisch |
Veröffentlicht: |
[Place of publication not identified]
O'Reilly Media
2014
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Schlagwörter: | |
Links: | https://learning.oreilly.com/library/view/-/9781491910498/?ar |
Zusammenfassung: | "This event introduces advanced math for business people --"just enough" to take advantage of open source frameworks -- including graph theory, abstract algebra, optimization, bayesian statistics, and more advanced areas of linear algebra. These are needed for supply chain optimization, pricing models, and anti-fraud, especially given the increased data rates coming from the Internet of Things. Paco Nathan discusses how to: Develop themes within the material to highlight a computational thinking approach for Big Data Decompose a complex problem into smaller solvable problems Leverage pattern recognition to identify when a known approach can be leveraged Abstract from those patterns into generalizations as strategies Articulate strategies as -- general recipes for how to handle complex problems He will also focus on morsels of advanced math, tying each new concept to a concrete business use case, showing brief code examples in Python."--Resource description page. |
Beschreibung: | Title from resource description page (Safari, viewed August 6, 2014) |
Umfang: | 1 Online-Ressource (1 streaming video file (46 min., 18 sec.)) |
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spelling | Nathan, Paco 1962- VerfasserIn aut Computational thinking just enough math Paco Nathan [Place of publication not identified] O'Reilly Media 2014 1 Online-Ressource (1 streaming video file (46 min., 18 sec.)) zweidimensionales bewegtes Bild tdi rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Title from resource description page (Safari, viewed August 6, 2014) "This event introduces advanced math for business people --"just enough" to take advantage of open source frameworks -- including graph theory, abstract algebra, optimization, bayesian statistics, and more advanced areas of linear algebra. These are needed for supply chain optimization, pricing models, and anti-fraud, especially given the increased data rates coming from the Internet of Things. Paco Nathan discusses how to: Develop themes within the material to highlight a computational thinking approach for Big Data Decompose a complex problem into smaller solvable problems Leverage pattern recognition to identify when a known approach can be leveraged Abstract from those patterns into generalizations as strategies Articulate strategies as -- general recipes for how to handle complex problems He will also focus on morsels of advanced math, tying each new concept to a concrete business use case, showing brief code examples in Python."--Resource description page. Commercial statistics Business mathematics Big data Python (Computer program language) Mathématiques financières Données volumineuses Python (Langage de programmation) Big data (OCoLC)fst01892965 Business mathematics (OCoLC)fst00842780 Commercial statistics (OCoLC)fst00869640 Python (Computer program language) (OCoLC)fst01084736 Electronic videos O'Reilly (Firm) MitwirkendeR ctb 1491910496 Erscheint auch als Druck-Ausgabe 1491910496 |
spellingShingle | Nathan, Paco 1962- Computational thinking just enough math Commercial statistics Business mathematics Big data Python (Computer program language) Mathématiques financières Données volumineuses Python (Langage de programmation) Big data (OCoLC)fst01892965 Business mathematics (OCoLC)fst00842780 Commercial statistics (OCoLC)fst00869640 Python (Computer program language) (OCoLC)fst01084736 Electronic videos |
subject_GND | (OCoLC)fst01892965 (OCoLC)fst00842780 (OCoLC)fst00869640 (OCoLC)fst01084736 |
title | Computational thinking just enough math |
title_auth | Computational thinking just enough math |
title_exact_search | Computational thinking just enough math |
title_full | Computational thinking just enough math Paco Nathan |
title_fullStr | Computational thinking just enough math Paco Nathan |
title_full_unstemmed | Computational thinking just enough math Paco Nathan |
title_short | Computational thinking |
title_sort | computational thinking just enough math |
title_sub | just enough math |
topic | Commercial statistics Business mathematics Big data Python (Computer program language) Mathématiques financières Données volumineuses Python (Langage de programmation) Big data (OCoLC)fst01892965 Business mathematics (OCoLC)fst00842780 Commercial statistics (OCoLC)fst00869640 Python (Computer program language) (OCoLC)fst01084736 Electronic videos |
topic_facet | Commercial statistics Business mathematics Big data Python (Computer program language) Mathématiques financières Données volumineuses Python (Langage de programmation) Electronic videos |
work_keys_str_mv | AT nathanpaco computationalthinkingjustenoughmath AT oreillyfirm computationalthinkingjustenoughmath |