Treffer 101 - 120 von 5.035

101

Automating and Optimizing Data-Centric What-If Analyses on Native Machine Learning Pipelines
Grafberger, Stefan ; Groth, Paul ; Schelter, Sebastian
Proceedings of the ACM on Management of Data - PACMMOD. 1(2):1-26

Fachzeitschrift
102

Interactive mapping and geospatial analysis with Leafmap and Jupyter
Wu, Qiusheng
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on APIs and Libraries for Geospatial Data Science. :1-2

Konferenz
103

AccelerQ: Accelerating Quantum Eigensolvers with Machine Learning on Quantum Simulators
Bensoussan, Avner ; Chachkarova, Elena ; Even-Mendoza, Karine ; et al.
Proceedings of the ACM on Programming Languages. 9(OOPSLA2):2279-2309

Fachzeitschrift
104

Applying Scikit-Learn of Machine Learning To Predict Consumed Energy in Al-Khwarizmi College of Engineering, Baghdad, Iraq
Reem Omar Mahdi ; Wisam S. Hacham
Al-Khawarizmi Engineering Journal, Vol 20, Iss 1 (2024)

Chemical engineering TP155-156 Engineering (General). C... TA1-2040
Fachzeitschrift
105

Discovering Parallelisms in Python Programs
Wei, Siwei ; Song, Guyang ; Zhu, Senlin ; et al.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. :832-844

Konferenz
106

The impact of big data analytics on digital marketing decision-making: A comprehensive analysis
Roberta Bajrami ; Adelina Gashi ; Kaltrina Bajraktari ; et al.
Innovative Marketing, Vol 21, Iss 3, Pp 171-182 (2025)

analytics big data decision-making digital marketing engagement Marketing. Distribution...
Fachzeitschrift
107

Information Extraction from Social Media : A Hands-on Tutorial on Tasks, Data, and Open Source Tools
Mishra, Shubhanshu ; Rezapour, Rezvaneh ; Diesner, Jana
Proceedings of the 31st ACM International Conference on Information & Knowledge Management. :5148-5151

Konferenz
108

Teaching Programming for First-Year Data Science
Burridge, Joshua ; Fekete, Alan
Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 1. :297-303

Konferenz
109

Learning Curve Analysis for Programming : Which Concepts do Students Struggle With?
Rivers, Kelly ; Harpstead, Erik ; Koedinger, Ken
Proceedings of the 2016 ACM Conference on International Computing Education Research. :143-151

Konferenz
110

Student Perspectives of Online Teaching and Learning During the COVID-19 Pandemic.
Ozfidan, Burhan ; Fayez, Orchida ; Ismail, Hala
Online Learning. Dec2021, Vol. 25 Issue 4, p461-485. 25p.

Student attitudes COVID-19 pandemic Online education Regression analysis Satisfaction Internet surveys
Fachzeitschrift
112

A Hands-on Tutorial on Time Series Imputation with ImputeGAP
Nater, Quentin ; Khayati, Mourad ; Cudré-Mauroux, Philippe
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2. :6245-6246

Konferenz
113

Scaffolding Progress : How Structured Editors Shape Novice Errors When Transitioning from Blocks to Text
Kazemitabaar, Majeed ; Chyhir, Viktar ; Weintrop, David ; et al.
Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1. :556-562

Konferenz
114

Exploring the Interplay Between Learning Programming and Probability Simultaneously: A Case Study of a 9th–Grade Student
Nordvoll, Sindre Mathias Strømnes ; Runde, Ragnhild Kobro ; Cutts, Quintin ; et al.
Proceedings of the 2025 ACM Conference on International Computing Education Research V.1. :271-283

Konferenz
116

Textual analysis of government data : an introduction
Wilkerson, John
Proceedings of the 16th Annual International Conference on Digital Government Research. :344-344

Konferenz
117

Beginning Data Analysis with Python And Jupyter
Alex Galea ; Alex Galea ; Alex Galea ; et al.
2018

E-Ressource
118

Deep structural clustering for single-cell RNA-seq data jointly through autoencoder and graph neural network.
Gan, Yanglan ; Huang, Xingyu ; Zou, Guobing ; et al.
Briefings in Bioinformatics. Mar2022, Vol. 23 Issue 2, p1-13. 13p.

Data analysis Cluster analysis (Statis... Scalability RNA sequencing Machine learning Channel coding
Fachzeitschrift
119

From Data Work to Data Science: Getting Past the Gatekeepers
Schenck, Lara L. ; DiSalvo, Betsy
Proceedings of the 2023 ACM Conference on International Computing Education Research - Volume 2. :1-2

Konferenz
120

Beginning Data Analysis with Python And Jupyter
Alex Galea ; Alex Galea ; Alex Galea ; et al.
2018

E-Ressource

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