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Data Science—Analytics and Applications Proceedings of the 5th International Data Science Conference—iDSC2023
Based on the overall digitalization in all spheres of our lives, Data Science and Artificial Intelligence (AI) are nowadays cornerstones for...
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Data Science Projects
We began this book with an introduction to the data science process in Part 1. Then in Part 2, we saw the various classes of problems that could be...
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Angewandte Data Science Projekte | Methoden | Prozesse
Die Anwendungen der Disziplin Data Science erweitern und wandeln sich stetig. In diesem Buch geben Insider aus Praxis, Wissenschaft und Lehre...
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The Pedagogical Chasm in Data Science Education
As an interdisciplinary disciplineChasmpedagogical, data science poses many challenges for teachers. This chapter presents the story of one of them,...
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Frame Theory in Data Science
This book establishes brand-new frame theory and technical implementation in data science, with a special focus on spatial-scale feature extraction,...
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Four Generations in Data Engineering for Data Science
Data-driven methods and data science are important scientific methods in many research fields. All data science approaches require professional data...
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Towards Performance Analysis for Online Data Science Learning Platform
The online data science learning platform offers students an adaptable educational experience and a versatile learning and experimental environment....
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Parallelized Data Science
In the last chapter, I talked about how data science tasks may encounter a wide variety of dataset sizes, ranging from kilobytes to petabytes. There...
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Python Data Science
Rather than presenting Python as Java or C, this textbook focuses on the essential Python programming skills for data scientists and advanced methods...
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Data Analytics and Data Science: Unlocking the Open Data Potential of Smart Cities
This article explores the integration of innovative data-driven technologies into digital governance at the local level, with a focus on open data,...
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Python for Data Science
The book is designed to serve as a textbook for courses offered to undergraduate and graduate students enrolled in data science. This book aims to...
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Scalable Data Science
Data science tasks may encounter a wide variety of dataset sizes, ranging from kilobytes to petabytes. Some business spreadsheets will only have a...
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Data Science and Machine Learning 21st Australasian Conference, AusDM 2023, Auckland, New Zealand, December 11–13, 2023, Proceedings
This book constitutes the proceedings of the 21st Australasian Conference on Data Science and Machine Learning, AusDM 2023, held in Auckland, New...
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Introduction to Data Science
An overview of the Data Science discipline and the purpose of the text are explained, highlighting the practical emphasis of the text intended to...
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Trans-AI/DS: transformative, transdisciplinary and translational artificial intelligence and data science
After the many ups and downs over the past 70 years of AI and 50 years of data science (DS), AI/DS have migrated into their new age. This...
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A review of random forest-based feature selection methods for data science education and applications
Random forest (RF) is one of the most popular statistical learning methods in both data science education and applications. Feature selection,...
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Intelligent Systems and Data Science First International Conference, ISDS 2023, Can Tho, Vietnam, November 11–12, 2023, Proceedings, Part I
This two-volume set constitutes the refereed proceedings of the First International Conference on Intelligent Systems and Data Science, ISDS 2023,...
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Intelligent Systems and Data Science First International Conference, ISDS 2023, Can Tho, Vietnam, November 11–12, 2023, Proceedings, Part II
This two-volume set constitutes the refereed proceedings of the First International Conference on Intelligent Systems and Data Science, ISDS 2023,...
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Detection of road traffic anomalies based on computational data science
The development of 5G has enabled the autonomous vehicles (AVs) to have full control over all functions. The AV acts autonomously and collects travel...
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Trans-AI/DS: transformative, transdisciplinary and translational artificial intelligence and data science
After the many ups and downs over the past 70 years of AI and 50 years of data science (DS), AI/DS have migrated into their new age. This...
