Big Data Research for Social Sciences and Social Impact by Visvizi, Anna

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Flood Forecasting Using Machine Learning Methods by Chang, Fi-John

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Assessment of Socio-Economic Sustainability and Resilience after COVID-19

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New Spin on Metal-Insulator Transitions

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Advances in Sustainable Concrete System

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Digital Humanities, Corpus and Language Technology = Humanidades Digitales, Corpus y Tecnología del Lenguaje A look from diverse case studies = Una mirada desde diversos casos de...

“…Data Science, Culture and Social Change…”
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Digital Humanities, Corpus and Language Technology = Humanidades Digitales, Corpus y Tecnología del Lenguaje A look from diverse case studies = Una mirada desde diversos casos de e...

“…Data Science, Culture and Social Change…”
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Artificial Intelligence and Machine Learning in Health Care and Medical Sciences Best Practices and Pitfalls /

Table of Contents: “…Predictive Analytics -- Machine Learning -- Artificial Intelligence -- Data Mining -- Clinical Risk Models -- Clinical Risk Stratification -- Data Science -- Causal Discovery -- Causal Inference -- Causal Discovery in Health Sciences -- Causal Inference In Health Sciences -- Ehr Data Analytics -- Medical Knowledge Discovery -- Biomedical Machine Learning -- Biomedical Artificial Intelligence -- Healthcare Machine Learning -- Healthcare Artificial Intelligence -- Translational Science Machine Learning -- Machine Learning for Biological Discovery -- Machine Learning in Bioinformatics -- Machine Learning in Genomics.…”
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Metalearning Applications to Automated Machine Learning and Data Mining / by Brazdil, Pavel, van Rijn, Jan N., Soares, Carlos, Vanschoren, Joaquin

Table of Contents: “…Introduction -- Part I, Basic Architecture of Metalearning and AutoML Systems -- Metalearning Approaches for Algorithm Selection I -- Evaluating Recommendations of Metalearning / AutoML Systems -- Metalearning Approaches for Algorithm Selection II -- Automating Machine Learning (AutoML) and Algorithm Configuration -- Dataset Characteristics (Metafeatures) -- Automating the Workflow / Pipeline Design -- Part II, Extending the Architecture of Metalearning and AutoML Systems -- Setting Up Configuration Spaces and Experiments -- Using Metalearning in the Construction of Ensembles -- Algorithm Recommendation for Data Streams -- Transfer of Metamodels Across Tasks -- Automating Data Science -- Automating the Design of Complex Systems -- Repositories of Experimental Results (OpenML) -- Learning from Metadata in Repositories.…”
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metaheuristicOpt: R PACKAGE UNTUK OPTIMASI DENGAN MENGGUNAKAN ALGORITMA POPULATION BASED METAHEURISTIC by Iip, -

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Who Runs the World: Data

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The Discipline of Organizing 4th Professional Edition by Glushko, Robert J.

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Learning to Quantify by Esuli, Andrea, Fabris, Alessandro, Moreo, Alejandro, Sebastiani, Fabrizio

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Elements of Causal Inference Foundations and Learning Algorithms by Peters, Jonas

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Digital epidemiology of innovation by Iván Camilo Triana Avellaneda, Luis Eduardo Pino, Denisse Rubio Cruz

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Big Data in Dental Research and Oral Healthcare

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Promoting Statistical Practice and Collaboration in Developing Countries

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Promoting Statistical Practice and Collaboration in Developing Countries

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Ubiquitous and Pervasive Computing New Trends and Opportunities

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Scheduling Problems New Applications and Trends

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