[PDF] Top 20 The data science machine : emulating human intelligence in data science endeavors
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The data science machine : emulating human intelligence in data science endeavors
... 9.3 Human value The KDD Cup 2014 competition shows a good example of how human intelligence is still ...that the top 10% of competitors significantly outperformed everyone else. ... Voir le document complet
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How automated machine learning help business data science teams?
... Abstract—Artificial intelligence and machine learning have attracted the attention of many commercial and non-profit organizations aiming to leverage advanced analytics, in order to provide a ... Voir le document complet
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Possibilistic Similarity Measures for Data Science and Machine Learning Applications
... received the Diploma degree in electrical engineering, the master’s degree, and the ...and the HDR degree from the National Engineering School of Sfax, Tunisia, in 2001, ... Voir le document complet
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Web Science, Artificial Intelligence and Intelligence Augmentation (in Dagstuhl Perspectives Workshop 18262 - 10 Years of Web Science: Closing The Loop)
... Initially, the Web was essentially perceived as a huge distributed library of linked pages, a worldwide documentary space for ...humans. In the mid-90s, with wikis and forums, the Web was ... Voir le document complet
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Machine Learning an Experimental Science (Revisited)
... studied. In the early days of machine learning, how easily the clas- sifier could be understood by a human was considered very important (Michalski ...some in- terest, notably ... Voir le document complet
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Data-driven modeling and learning in science and engineering
... for data-driven modeling, discovery of laws and learning phys- ical constraints The recent and rapid increase in the availability of measurement data of physical systems has spurred ... Voir le document complet
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DataHub: Collaborative Data Science & Dataset Version Management at Scale
... INTRODUCTION The rise of the Internet, smart phones, and wireless sensors has produced a huge diversity of datasets about all aspects of our lives, from our social interactions to our vital signs and ... Voir le document complet
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Bibliothèque, open science, open data et données de la recherche au Canada : quels enjeux ?
... (Open Science) et ouverture des données publiques (Open Data) liée à une certaine confusion des ...Open Data et Open Science sont les lames de fond des politiques mondiales liées à la ... Voir le document complet
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[PDF] Support de cour sur le langage python pour la data science | Cours python
... Chapitre 4.. L’écosystème Python pour les data scientists Plotly, … NLTK, CoreNLP, Gensim, textblob, SpaCy, … Folium GeoPandas, … Seaborn TensorFlow, … Visualisation Web GIS Traitement [r] ... Voir le document complet
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Democratizing data science through interactive curation of ML pipelines
... Exploration In contrast to ensure that Alpine Meadow also tries new things, with the likelihood 1 − β we select a logical pipeline which we have never run ...a data-specific pipeline (lines 4-9 ... Voir le document complet
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Complex Algorithms for Data-Driven Model Learning in Science and Engineering
... In the aircraft industry, the timely detection of internal damage in composite structures is a difficult an d complex ...procedure. The p urpose o f s tructural h ealth monitoring (SHM) ... Voir le document complet
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Using Active Data to Provide Smart Data Surveillance to E-Science Users
... used in many domains including bioinformatics, genomics, astronomy, and medical ...and the workflow system handles the flow of data between ...tools. In contrast to Active Data, ... Voir le document complet
6
Ontology-based methods for analyzing life science data
... tackle the challenges of pro- ducing and querying linked data, as well as developing semantic-based methods for analyzing complex life science ...data. The first strategic requirement ... Voir le document complet
174
Agnostic Science. Towards a Philosophy of Data Analysis
... computational science to work, even if this understanding is then weakened in the development of effective predictive ...templates. In [Humphreys, 1995] Humphreys argues that the ... Voir le document complet
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Data science and advanced analytics : an integrated framework for creating value from data
... We demonstrate that predictions from machine learning are superior to those of econometrics or statis- tical models, because machine learning is not constrained to the [r] ... Voir le document complet
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Computer approaches for the handling of large social science data files
... We have mentioned on several previous occasions the classified directory. This is a very important feature of the analyser. We have to remind ourselves that when we[r] ... Voir le document complet
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Managing data locally to answer questions globally: The role of collaborative science in ecology
... Vegetation Science AUBIN et Al . 1 | INTRODUCTION In a context of data-intensive science, data collection and manage- ment are, more than ever, a central focus of ecology (Hampton et ... Voir le document complet
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Characterization, description, and considerations for the use of funding acknowledgement data in Web of Science
... 13 Data collection issues As the names of the different funding fields suggest, funding acknowledgements are processed and indexed in WoS only if they include mentions of ...notwithstanding, ... Voir le document complet
17
Comprehensive all-sky search for periodic gravitational waves in the sixth science run LIGO data
... shown in Table I were so contaminated that every SFT was vetoed by data condition- ing code and the analysis terminated before reaching universal statistic ...While the universal statistic ... Voir le document complet
14
All-Sky LIGO Search for Periodic Gravitational Waves in the Early Fifth-Science-Run Data
... with the Laser Interferometer Gravitational-Wave Obser- vatory (LIGO) detectors [ 1 , 2 ] for periodic gravitational waves, using data from the first eight months of LIGO’s fifth science run ... Voir le document complet
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