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The Art and Practice of Data Science Pipelines: A Comprehensive Study of Data Science Pipelines In Theory, In-The-Small, and In-The-Large [PDF]
ICSE 2022: The 44th International Conference on Software
Engineering, 2021 Increasingly larger number of software systems today are including data science components for descriptive, predictive, and prescriptive analytics. The collection of data science stages from acquisition, to cleaning/curation, to modeling, and so on are referred to as data science pipelines. To facilitate research and practice on data science pipelines,
Sumon Biswas +2 more
arxiv +3 more sources
ChatGPT for Teaching and Learning: An Experience from Data Science Education [PDF]
Conference on Information Technology Education, 2023 ChatGPT, an implementation and application of large language models, has gained significant popularity since its initial release. Researchers have been exploring ways to harness the practical benefits of ChatGPT in real-world scenarios. Educational researchers have investigated its potential in various subjects, e.g., programming, mathematics, finance,
Yong Zheng
arxiv +3 more sources
Accelerating AI for science: open data science for science [PDF]
Royal Society Open ScienceAspirations for artificial intelligence (AI) as a catalyst for scientific discovery are growing. High-profile successes deploying AI in domains such as protein folding have highlighted AI’s potential to unlock new frontiers of scientific knowledge ...
Neil D. Lawrence, Jessica Montgomery
doaj +2 more sources
A Systematic Literature Review of Undergraduate Data Science Education Research [PDF]
Journal of Statistics and Data Science EducationThe presence of data science has been profound in the scientific community in almost every discipline. An important part of the data science education expansion has been at the undergraduate level.
Mine Dogucu +4 more
doaj +2 more sources
DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation [PDF]
International Conference on Machine Learning, 2022 We introduce DS-1000, a code generation benchmark with a thousand data science problems spanning seven Python libraries, such as NumPy and Pandas. Compared to prior works, DS-1000 incorporates three core features.
Yuhang Lai +9 more
semanticscholar +1 more source
A Review of and Roadmap for Data Science and Machine Learning for the Neuropsychiatric Phenotype of Autism [PDF]
Annual Review of Biomedical Data Science, 2023 Autism spectrum disorder (autism) is a neurodevelopmental delay that affects at least 1 in 44 children. Like many neurological disorder phenotypes, the diagnostic features are observable, can be tracked over time, and can be managed or even eliminated ...
Peter Y. Washington, D. Wall
semanticscholar +1 more source
Re-engineering Clinical Trial Management System Using Blockchain Technology
Blockchain in Healthcare Today, 2022 The annual ConV2X is a leading international health tech symposium driving real world evidence, strategy, research, operations and trends to create a blueprint for a new digital health era.
Yan Zhuang, PhD, National Institute of Health Data Science, Peking University +2 more
doaj +1 more source
Data Science — definition and structural representation
Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï, 2021 This article is a continuation of the discussion on the existing meanings and formalization of the definition of “Data Science” as an autonomous discipline, field of knowledge, clarification of its defining components, integration, and interaction ...
Pavlo Maslianko, Yevhenii Sielskyi
doaj +1 more source
Big Data and Cognitive Computing, 2023 ChatGPT, a conversational AI interface that utilizes natural language processing and machine learning algorithms, is taking the world by storm and is the buzzword across many sectors today.
Hossein Hassani, E. Silva
semanticscholar +1 more source
Journal of Statistics and Data Science Education, 2023 ChatGPT is one of many generative artificial intelligence (AI) tools that has emerged recently, creating controversy in the education community with concerns about its potential to be used for plagiarism and to undermine students’ ability to think ...
Amanda R. Ellis, E. Slade
semanticscholar +1 more source