Suchergebnisse - Data Science with SQL Server Quick Start Guide*

Data Science with SQL Server Quick Start Guide : Integrate SQL Server with Data Science

Autoren: Dejan Sarka

Resource Type: eBook.

Schlagworte: Client/server computing, SQL (Computer program language)

Categories: COMPUTERS / Data Science / Data Modeling & Design, COMPUTERS / Data Science / General, COMPUTERS / Data Science / Data Analytics

Data Science with SQL Server Quick Start Guide

Autoren: Sarka, Dejan, Sarka, Dejan

Index Begriffe: book

URL: https://international.scholarvox.com/book/88862771

Anna: an open-source platform for real-time integration of machine learning classifiers with veterinary electronic health records.

Autoren: Kong, Chun Yin Vasquez, Picasso Farhoodimoghadam, Makan et al.

Quelle: BMC Veterinary Research. 10/2/2025, Vol. 21 Issue 1, p1-12. 12p.

Schlagworte: Machine learning, Electronic health records, Open source software, Patient care, Veterinary medicine, Diagnosis, Classification algorithms, Synchronization

Data science with SQL server quick start guide: integrate SQL server with data science

Autoren: Sarka, Dejan

Schlagwörter: Computing and Computers

Relation: http://cds.cern.ch/record/2647563; oai:cds.cern.ch:2647563

Verfügbarkeit: http://cds.cern.ch/record/2647563

Linking data science to lean production: a model to support lean practices.

Autoren: Pozzi, Rossella Cannas, Violetta Giada Ciano, Maria Pia

Quelle: International Journal of Production Research; Nov2022, Vol. 60 Issue 22, p6866-6887, 22p, 3 Diagrams, 4 Charts

Schlagwörter: LEAN management, DATA science, STATISTICAL process control, KNOWLEDGE management, PRODUCT quality

Performance and Scalability of Data Cleaning and Preprocessing Tools: A Benchmark on Large Real-World Datasets.

Autoren: Martins, Pedro Cardoso, Filipe Váz, Paulo et al.

Quelle: Data (2306-5729); May2025, Vol. 10 Issue 5, p68, 22p

Schlagwörter: SCALABILITY, DATA science, REAL-time computing, BENCHMARK problems (Computer science), DATA scrubbing

A business intelligence based solution to support academic affairs: case of Taibah University.

Autoren: Boulila, Wadii Al-kmali, Muhib Farid, Mohammed et al.

Quelle: Wireless Networks (10220038); Apr2023, Vol. 29 Issue 3, p1051-1058, 8p

Schlagwörter: BUSINESS intelligence, UNIVERSITY faculty, SQL, HIGHER education, DATA warehousing

Tell your story: Metrics of success for academic data science collaboration and consulting programs.

Autoren: Blake, Mara Rojeski Griffith, Emily Pierce, Steven J. et al.

Quelle: Stat; Jun2024, Vol. 13 Issue 2, p1-9, 9p

Schlagwörter: DATA science, COOPERATIVE research, STORYTELLING, STATISTICS, SUCCESS

Hands-On Data Science with SQL Server 2017 : Perform End-to-end Data Analysis to Gain Efficient Data Insight

Autoren: Marek Chmel Vladimír Mužný

Resource Type: eBook.

Schlagworte: Database management, Client/server computing, Relational databases

Categories: COMPUTERS / Languages / SQL, COMPUTERS / Data Science / Data Modeling & Design, COMPUTERS / Data Science / Data Visualization

Extensible Query Optimizers in Practice.

Autoren: Ding, Bailu Narasayya, Vivek Chaudhuri, Surajit

Quelle: Foundations & Trends in Databases; 2024, Vol. 14 Issue 3/4, p186-402, 217p

Schlagwörter: SQL, ONLINE databases, ELECTRONIC information resource searching, CASCADING style sheets, ALGEBRA

Improving short text classification with augmented data using GPT-3.

Quelle: Natural Language Engineering; Sep2024, Vol. 30 Issue 5, p1-30, 30p

Schlagwörter: LANGUAGE models, GENERATIVE pre-trained transformers, DATA augmentation, MACHINE learning, DATA science

The R Language: An Engine for Bioinformatics and Data Science.

Autoren: Giorgi, Federico M. Ceraolo, Carmine Mercatelli, Daniele

Quelle: Life (2075-1729); May2022, Vol. 12 Issue 5, p648-648, 25p

Schlagwörter: DATA science, PROGRAMMING languages, INTERNET servers, BIOINFORMATICS, HISTORICAL source material, MACHINE learning

Meeting Abstracts from the 5th National Big Data Health Science Conference.

Quelle: BMC Proceedings; 5/16/2024, Vol. 18 Issue 8, p1-33, 33p

Schlagwörter: SCIENCE conferences, PERIPARTUM cardiomyopathy, PELVIC pain, DATA science, BIG data, MEDICAL personnel, HEALTH services administration

Easy-to-Use Cloud Computing for Teaching Data Science.

Autoren: Kim, Brian Henke, Graham

Quelle: Journal of Statistics & Data Science Education; 2021 Supplement, Vol. 29, pS103-S111, 9p

Schlagwörter: DATA science, PYTHON programming language, CLOUD computing, SQL

Accurate Medical Vial Identification Through Mixed Reality: A HoloLens 2 Implementation.

Autoren: Mahmud, Bahar Uddin Hong, Guan Yue Sharmin, Afsana et al.

Quelle: Electronics (2079-9292); Nov2024, Vol. 13 Issue 22, p4420, 19p

Schlagwörter: EMERGENCY medical services, MEDICAL technology, PATIENT safety, BAR codes, VIALS

Mouse Genome Informatics: an integrated knowledgebase system for the laboratory mouse.

Autoren: Baldarelli, Richard M Smith, Cynthia L Ringwald, Martin et al.

Quelle: Genetics; May2024, Vol. 227 Issue 1, p1-31, 31p

Schlagwörter: DATABASES, DATA science, LABORATORY animals, GENOMICS, TERMS & phrases, INFORMATION resources, BIOINFORMATICS, MICE, GENE expression, MEDICAL research, ONTOLOGIES (Information retrieval), GENOMES, GENETICS, PHENOTYPES, ALLELES, ACCESS to information

Open science and data sharing in cognitive neuroscience with MouseBytes and MouseBytes+.

Autoren: Memar, Sara Jiang, Eric Prado, Vania F. et al.

Quelle: Scientific Data; 4/14/2023, Vol. 10 Issue 1, p1-13, 13p

Schlagwörter: COGNITIVE neuroscience, OPEN scholarship, INFORMATION sharing, DATA science, DATA libraries, NEUROSCIENCES, AFFECTIVE neuroscience

Stone Soup: Cooking Up Custom Solutions with SQL Server Machine Learning.

Autoren: Takaki-Nelson, Jeannine

Quelle: CODE Magazine; Nov/Dec2019, p32-43, 12p

Schlagwörter: COMPUTER operating systems, MACHINE learning, ARTIFICIAL intelligence, COMPUTATIONAL learning theory, DATABASE management, PYTHON programming language, COMPUTER network resources

A brief survey on big data: technologies, terminologies and data-intensive applications.

Autoren: Abdalla, Hemn Barzan

Quelle: Journal of Big Data; 11/17/2022, Vol. 9 Issue 1, p1-36, 36p

Schlagwörter: BIG data, ELECTRONIC data processing, DATA science, COMPUTATIONAL complexity, TERMS & phrases

METHODOLOGY BASED ON MLOPS (MACHINE LEARNING OPERATIONS) FOR MANAGEMENT SUPPORT IN DATA SCIENCE PROJECTS.

Alternate Title: METODOLOGÍA BASADA EN MLOPS (MACHINE LEARNING OPERATIONS) PARA APOYO A LA GESTIÓN EN PROYECTOS DE CIENCIA DE DATOS. (Spanish)

Autoren: Ordonez Bolanos, Angela A. Ramirez-Gonzalez, Gustavo Gómez, Jorge Gómez et al.

Quelle: Colombian Journal of Advanced Technologies / Revista Colombiana de Tecnologías de Avanzada; ene-jun2023, Vol. 1 Issue 41, p87-103, 17p

Schlagwörter: MACHINE learning, DATA extraction, PROJECT management, DATA science, INFORMATION science