Issues and Lessons Learned in the Development of Academic Study Programs in Data Science

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Bibliographische Detailangaben
Veröffentlicht in:	DAMDID/RCDL (21. : 2019 : Kasan) Data analytics and management in data intensive domains
1. Verfasser:	Luković, Ivan (VerfasserIn)
Format:	UnknownFormat
Sprache:	eng
Veröffentlicht:	2020
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Titel	Jahr	Verfasser
Three Simple Approaches to Combining Neural Networks with Algorithms	2020	Osokin, Anton
Integration of the JINR Hybrid Computing Resources with the DIRAC Interware for Data Intensive Applications	2020	Korenkov, Vladimir
Models Are Functioning in Scenarios	2020	Thalheim, Bernhard
Method for Expert Search Using Topical Similarity of Documents	2020	Zubarev, Denis
Issues and Lessons Learned in the Development of Academic Study Programs in Data Science	2020	Luković, Ivan
On Information Search Measures and Metrics Within Integration of Information Systems on Inorganic Substances Properties	2020	Dudarev, Victor A.
Modern Astronomical Surveys for Parameterization of Stars and Interstellar Medium	2020	Malkov, Oleg
Searching for Optical Counterparts of LIGO/Virgo Events in O2 Run	2020	Mazaeva, Elena
Depression Detection from Social Media Profiles	2020	Stankevich, Maxim
An Approach to Fuzzy Clustering of Big Data Inside a Parallel Relational DBMS	2020	Zymbler, Mikhail
Applied Ontologies for Managing Graphic Resources in Quantitative Spectroscopy	2020	Lavrentev, Nikolai
Realization of Different Techniques for Anomaly Detection in Astronomical Databases	2020	Malanchev, Konstantin
Google Books Ngram: Problems of Representativeness and Data Reliability	2020	Solovyev, Valery D.
Tatar WordNet: The Sources and the Component Parts	2020	Kirillovich, Alexander
Methodology for Automated Identifying Food Export Potential	2020	Devyatkin, Dmitry