“…The in-depth technical descriptions make this book suitable for technical professionals, researchers, senior undergraduate and graduate students in data science, computer science and engineering.…”
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“…This book is intended to serve as a textbook for graduate students and beginning researchers in data science, machine learning, computer vision, image and signal processing, and systems theory. …”
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“…We organize on the Kaggle platform a data science competition to stimulate both the ML and HEP communities to renew core tracking algorithms in preparation of the next generation of particle detectors at the LHC. …”
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“…--HTML--><p>On the intersection between software engineering, cloud computing and data science, researchers have recently shown increased interest in tangible software artefacts often used to implement microservice-based applications and cloud applications in general. …”
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“…The book is intended for students, academics, engineers and professionals that are interested in short term load prediction, energy data analytics, battery control, demand side response and data science in general. .…”
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“…In a nutshell, this book allows readers to gain an understanding of the latest developments in multivariate data science.…”
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“…These include parallel programming, machine learning and data science tools, and techniques to preserve software projects at all scales. …”
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“…A growing body of computational tools is being developed for this task, leveraging ideas ranging from machine translation to the theory of networks, and represents another frontier on the interface of biology and data science. Our goal in this review is to provide a comprehensive, up-to-date survey of computational techniques for the integration of single-cell multi-omics data, while making the concepts behind each algorithm approachable to a non-expert audience.…”
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“…Molecular design through data science will enable accelerated exploration of functional materials for energy-related devices.…”
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“…Here, we describe a process developed to integrate techniques utilized in data science within a cancer research framework. Using data collection, an analysis that classifies genetic cancer mutations as pathogenic, and a patient matching methodology that identifies the same donor within all liquid biopsy reports, the manual work for research personnel is drastically reduced. …”
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“…Machine learning (ML) and data science offer a potential solution to these challenges by enabling the automated design of perovskite solar cells. …”
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“…The application of data science and machine learning for identifying and discovering MPEAs with desirable mechanical performance is summarized and presented.…”
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“…ICIBM 2015 included eight scientific sessions, three tutorial sessions, one poster session, and four keynote presentations that covered the frontier research in broad areas related to bioinformatics, systems biology, big data science, biomedical informatics, pharmacogenomics, and intelligent computing. …”
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“…In light of recent advances in biomedical computing, big data science, and precision medicine, there is a mammoth demand for establishing algorithms in machine learning and systems genomics (MLSG), together with multi-omics data, to weigh probable phenotype-genotype relationships. …”
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“…We draw upon our empirical research with stem cell laboratories and animal houses, teams producing robotic surgical tools, musicians sonifying data science, a psychiatric genetics laboratory, and scientists developing laboratory grown meat. …”
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“…However, BIO PIs said the most pressing unmet needs are training in data integration, data management, and scaling analyses for HPC—acknowledging that data science skills will be required to build a deeper understanding of life. …”
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“…In recent years, online social media information has been the subject of study in several data science fields due to its impact on users as a communication and expression channel. …”
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“…We describe innovations in laboratory and data science that should accelerate integration and identify remaining challenges with respect to specimen collection, testing, and analysis. …”
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“…As the big data science develops, efficient methods are demanded for various data analysis. …”
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“…At ICIBM 2018, a special theme of Medical Informatics was dedicated to recent advances of data science in the medical domain. After peer review, six articles were selected in this thematic issue, covering topics such as clinical predictive modeling, clinical natural language processing (NLP), electroencephalogram (EEG) network analysis, and text mining in biomedical literature.…”
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