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81

Data Science Curriculum Design: A Case Study
Bile Hassan, Ismail ; Ghanem, Thanaa ; Jacobson, David ; et al.
Proceedings of the 52nd ACM Technical Symposium on Computer Science Education. :529-534

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82

Uzaktan Algılama ve Veri Bilimi Teknikleriyle Orman Yangınları için Meteorolojik Etkilerin İzlenmesi.
UYSAL, Mustafa Mutlu ; UYSAL, Murat
Afyon Kocatepe University Journal of Science & Engineering / Afyon Kocatepe Üniversitesi Fen Ve Mühendislik Bilimleri Dergisi. Feb2025, Vol. 25 Issue 1, p137-143. 7p.

Forest fires Solar radiation Wind speed Remote sensing Solar temperature
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83

Parallelization of Data Science Tasks, an Experimental Overview
Castro, Oscar ; Bruneau, Pierrick ; Sottet, Jean-Sébastien ; et al.
Proceedings of the 2022 11th International Conference on Computing and Pattern Recognition. :483-490

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84

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85

Practical Machine Learning
Nyamawe, Ally S. ; Mjahidi, Mohamedi M. ; Nnko, Noe E. ; et al.

Ethics pre-processing data collection hyperparameter optimizat... data cleaning programming …
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86

Supporting Better Insights of Data Science Pipelines with Fine-grained Provenance.
Chapman, Adriane ; Lauro, Luca ; Missier, Paolo ; et al.
ACM Transactions on Database Systems. Jun2024, Vol. 49 Issue 2, p1-42. 42p.

DATA science RELATIONAL databases DATA mining DATABASES PYTHON programming langu... MACHINE learning …
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87

Data Science and Complex Networks : Real Case Studies with Python
Caldarelli, Guido, author ; Chessa, Alessandro, author ; Caldarelli, Guido ; et al.

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88

Is it feasible to teach query programming in three different languages in a single session? : A study on a pattern-oriented tutorial and cheat sheets
Sundin, Lovisa ; Cutts, Quintin
Proceedings of the 2019 Conference on United Kingdom & Ireland Computing Education Research. :1-7

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89

Solving PDEs in Python
Langtangen, Hans Petter ; Logg, Anders

Computational Science an... Algorithms Visualization Mathematical Software Numerical Analysis Software Engineering/Pro... …
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90

Feeding a large-scale physics application to Python
Lomdahl, P [Los Alamos National Lab., NM (United States). Theoretical Div.]
Conference: 6. international python conference, San Jose, CA (United States), 14-17 Oct 1997; Other Information: PBD: Oct 1997

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91

Lodestar: Supporting rapid prototyping of data science workflows through data-driven analysis recommendations.
Raghunandan, Deepthi ; Cui, Zhe ; Krishnan, Kartik ; et al.
Information Visualization. Jan2024, Vol. 23 Issue 1, p21-39. 19p.

Data science Directed graphs Formative tests Formative evaluation Workflow software Rapid prototyping …
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92

Interactive data science at scale
Bader, David A.
Proceedings of the 18th ACM International Conference on Computing Frontiers. :210-210

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93

The Computational Content Analyst
Vargo, Chris J.

communication studies computational social sci... mass communication big data machine learning artificial intelligence …
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94

Data Analysis and Mining
Ougiaroglou, Stefanos ; Margaris, Dionisis

chi-square test constrained likelihood r... Fisher test gamma distribution uniformly most powerful... key interested frame …
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95

JupyterLab in Retrograde: Contextual Notifications That Highlight Fairness and Bias Issues for Data Scientists
Harrison, Galen ; Bryson, Kevin ; Bamba, Ahmad Emmanuel Balla ; et al.
Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems. :1-19

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96

The Handbook of Qualitative and Quantitative Content Analysis
Schneijderberg, Christian ; Wieczorek, Oliver ; Steinhardt, Isabel

empirical research metho... inductive analysis deductive coding bibliometric review semantic network analysi... sentiment analysis techn... …
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97

Multimedia information retrieval in big data using OpenCV python
Goularte, Rudinei ; Trojahn, Tiago H. ; Kishi, Rodrigo M.
Proceedings of the 25th Brazillian Symposium on Multimedia and the Web. :25-27

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98

An exploratory text-mining approach to analyzing DEI-related issues in eight leading architecture & design firms' publications.
Mohammed, Hassnaa ; More, Prathamesh Pravin ; Saudagar, Onkar Vishnu
Design Journal. Jul2025, Vol. 28 Issue 4, p783-807. 25p.

Floyd, George, ca. 1973-... Diversity & inclusion po... Text mining Architectural design Big data Social consciousness …
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100

Hypertension Disease Predictions with Various Models Using Data Science Framework
Alizargar, Azadeh ; Tan, Tan-Hsu ; Chang, Yang-Lang ; et al.
Proceedings of the 6th International Conference on Medical and Health Informatics. :107-112

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