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Responsible Data Science Select Proceedings of ICDSE 2021
This book comprises select proceedings of the 7th International Conference on Data Science and Engineering (ICDSE 2021). The contents of this book...
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Machine Learning for Data Science Handbook Data Mining and Knowledge Discovery Handbook
This book is a major update to the very successful first and second editions (2005 and 2010) of Data Mining and Knowledge Discovery Handbook. Since...
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Advanced Python Programming for Data Science
This chapter will introduce the advanced Python programming concepts and skills necessary to excel as a data scientist.
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A faster lazy learner for data science
In this work, we propose a faster version of Lazy Learner (i.e., k-nearest neighbor (kNN)) for effective analysis of big data defined by the...
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Data Science and Knowledge Discovery Using Machine Learning Methods
This introductory chapter aims to explain the KDD process and position machine learning within this process. Research and development challenges for...
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Explainable Artificial Intelligence in Data Science
A widespread need to explain the behavior and outcomes of AI-based systems has emerged, due to their ubiquitous presence. Thus, providing renewed...
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Soft Computing in Data Science 7th International Conference, SCDS 2023, Virtual Event, January 24–25, 2023, Proceedings
This book constitutes the refereed proceedings of the 7th International Conference on Soft Computing in Data Science, SCDS 2023, which was held...
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Practical Data Science with WEKA
WEKA stands for Waikato Environment for Knowledge Analysis. It is an open-source tool for performing different machine learning and data mining tasks...
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FAIRification of Citizen Science Data
Citizen Science (CS) initiatives encourage citizens to collect local data, contributing to knowledge creation and scientific development. However,...
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Google Cloud Platform for Data Science A Crash Course on Big Data, Machine Learning, and Data Analytics Services
This book is your practical and comprehensive guide to learning Google Cloud Platform (GCP) for data science, using only the free tier services...
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Development of IPSJ Data Science Curriculum Standard
The Information Processing Society of Japan (IPSJ) published a curriculum standard for university-level education majoring in data science (DS) (An...
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Engaging in Student-Centered Educational Data Science Through Learning Engineering
As educational data science (EDS) evolves and its related fields continue to advance, it is imperative to employ EDS to solve real-world educational...
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Data science: a game changer for science and innovation
This paper shows data science’s potential for disruptive innovation in science, industry, policy, and people’s lives. We present how data science...
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Data Science Concepts and Techniques with Applications
This textbook comprehensively covers both fundamental and advanced topics related to data science. Data science is an umbrella term that encompasses...
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Communication Principles for Data Science
This book introduces the basic principles underlying the design and analysis of the digital communication systems that have heralded the information...
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Solutions to Data Science Problems
This chapter presents a review of statistical and machine learning models to tackle data science problems, arguably the most popular approaches. Both...
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Multi-metric Approach for Decomposition of Microservice-Based Data Science Workflows
To support fast development cycles in data science, microservice architectures are becoming increasingly important. However, while the design and...
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What Is Productive and Efficient Data Science?
The goal of this chapter is to introduce you to the benefits of performing data science tasks efficiently and productively. I also illustrate some...