Cargando…

Data Science für Unternehmen: Data Mining und datenanalytisches Denken praktisch anwenden.

Detalles Bibliográficos
Clasificación:	Libro Electrónico
Autor principal:	Provost, Foster
Otros Autores:	Fawcett, Tom
Formato:	Electrónico eBook
Idioma:	Inglés
Publicado:	[Place of publication not identified] : MITP Verlags GmbH & Co. KG : MITP, 2017.
Temas:	Data mining. Big data. Business > Data processing. Data Mining Exploration de données (Informatique) Données volumineuses. Gestion > Informatique. COMPUTERS / Computer Literacy COMPUTERS / Computer Science COMPUTERS / Data Processing COMPUTERS / Hardware / General COMPUTERS / Information Technology COMPUTERS / Machine Theory COMPUTERS / Reference
Acceso en línea:	Texto completo

Ejemplares similares

Shang zhan shu ju wa jue : ni xu yao le jie de shu ju ke xue yu fen xi si wei = Data science for business /
por: Provost, Foster, 1964-, et al.
Publicado: (2019)

Smart data analytics : Zusammenhänge erkennen Potentiale nutzen Big Data verstehen /
por: Wierse, Andreas, et al.
Publicado: (2017)

Building big data pipelines with Apache Beam : use a single programming model for both batch and stream data processing /
por: Lukavsky, Jan
Publicado: (2022)

Working with big data : infrastructure, algorithms and visualizations : livelessons /
por: Dix, Paul, 1977-
Publicado: (2013)

Learning Apache Apex : Real-time streaming applications with Apex /
por: Weise, Thomas, et al.
Publicado: (2017)

Learning Apache Apex : Real-time streaming applications with Apex /
por: Weise, Thomas, et al.
Publicado: (2017)

Big data fundamentals : concepts, drivers & techniques /
por: Erl, Thomas, et al.
Publicado: (2016)

Intelligent data analysis for biomedical applications : challenges and solutions /
Publicado: (2019)

Data science and big data analytics : discovering, analyzing, visualizing and presenting data /
Publicado: (2015)

ABDA 2017 : proceedings of the 2017 International Conference on Advances in Big Data Analytics /
Publicado: (2017)

Big data application architecture Q & A : a problem-solution approach /
por: Sawant, Nitin
Publicado: (2013)

Expert data wrangling with R : streamline your work with tidyr, dplyr, and ggvis /
Publicado: (2015)

Data-Science-Crashkurs Eine interaktive und praktische Einführung.
por: Herbold, Steffen
Publicado: (2022)

Data mining for business applications /
Publicado: (2010)

Big data demystified : how to use big data, data science and AI to make better business decisions and gain competitive advantage /
por: Stephenson, David
Publicado: (2018)

Strata data.
Publicado: (2021)

The Enterprise Big Data Lake /
por: Gorelik, Alex
Publicado: (2019)

Data analytics and big data /
por: Sedkaoui, Soraya
Publicado: (2018)

Pro Microsoft HDInsight : Hadoop on Windows /
por: Sarkar, Debarchan
Publicado: (2014)

Splunk 7.x quick start guide : gain business data insights from operational intelligence /
por: Baxter, James H.
Publicado: (2018)

The DS2 procedure : SAS programming methods at work /
por: Eberhardt, Peter
Publicado: (2016)

Too big to ignore : the business case for big data /
por: Simon, Phil
Publicado: (2013)

Data scientist : the definitive guide to becoming a data scientist /
por: Voulgaris, Zacharias
Publicado: (2014)

R for data science : import, tidy, transform, visualize, and model data /
por: Wickham, Hadley, et al.
Publicado: (2016)

Big data for chimps : a guide to massive-scale data processing in practice /
por: Kromer, Philip, et al.
Publicado: (2015)

Data science for business : what you need to know about data mining and data-analytic thinking /
por: Provost, Foster, 1964-
Publicado: (2013)

Using R to unlock the value of big data : big data analytics with Oracle R Enterprise and Oracle R Connector for Hadoop /
por: Hornick, Mark F.
Publicado: (2013)

Pentaho for Big Data Analytics.
por: R. Patil, Manoj
Publicado: (2013)

Real-time big data analytics : design, process, and analyze large sets of complex data in real time /
por: Gupta, Sumit, et al.
Publicado: (2016)

Real-time big data analytics : design, process, and analyze large sets of complex data in real time /
por: Gupta, Sumit, et al.
Publicado: (2016)

Data science for business : what you need to know about data mining and data-analytic thinking /
por: Provost, Foster, 1964-, et al.
Publicado: (2021)

Splunk operational intelligence cookbook : over 80 recipes for transforming your data into business-critical insights using Splunk /
por: Diakun, Josh, et al.
Publicado: (2018)

Data Ingestion with Python cookbook A Practical Guide to Ingesting, Monitoring, and Identifying Errors in the Data Ingestion Process /
por: Esppenchutz, Gláucia
Publicado: (2023)

Getting structured data from the Internet : running web crawlers/scrapers on a big data production scale /
por: Patel, Jay M.
Publicado: (2020)

Big data, open data and data development /
por: Monino, Jean-Louis, et al.
Publicado: (2016)

Social sensing : building reliable systems on unreliable data /
por: Wang, Dong, et al.
Publicado: (2015)

Real-world examples of business data use.
Publicado: (2014)

Talend for Big Data.
por: Azarmi, Bahaaldine
Publicado: (2014)

Creating a culture of data-driven business.
Publicado: (2014)

Data science and big data analytics : discovering, analyzing, visualizing and presenting data /
Publicado: (2015)

Cannot write session to /tmp/vufind_sessions/sess_t8j3525mn8vb5gr2iim08vp400