Intelligent Systems and Learning Data Analytics in Online Education

Intelligent Systems and Learning Data Analytics in Online Education

Enregistré dans:

Détails bibliographiques
Auteur principal:	Caballé, Santi. (Éditeur scientifique)
Autres auteurs:	Demetriadis, Stavros N.. (Éditeur scientifique), Gómez-Sánchez, Eduardo., Papadopoulos, Pantelis M.., Weinberger, Armin., Xhafa, Fatos.
Support:	E-Book
Langue:	Anglais
Publié:	San Diego, CA : Elsevier Science, 2021.
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-book

Documents similaires

Intelligent data analysis for e-Learning : enhancing security and trustworthiness in online learning systems
par: Miguel, Jorge.
Publié: (2016)

Deep learning for data analytics : foundations, biomedical applications, and challenges
par: Das, Himansu.
Publié: (2020)

Intelligent Data-Analytics for Condition Monitoring : Smart Grid Applications
par: Malik, Hasmat.
Publié: (2021)

Data Analytics : Systems Engineering - Cybersecurity - Project Management
par: Greco, Christopher.

The data and analytics playbook : proven methods for governed data and analytic quality
par: Fryman, Lowell.
Publié: (2016)

Simplifying Data Engineering and Analytics with Delta : Create analytics-ready data that fuels artificial intelligence and business intelligence
par: Mahapatra, Anindita.
Publié: (2022)

Big data analytics
par: Rao, Calyampudi Radhakrishna (1920-2023).
Publié: (2015)

Big Data and Analytics : The key concepts and practical applications of big data analytics
par: Kumar, Jugnesh.

Intelligent data engineering and learning : perspectives on financial engineering and data mining
Publié: (1998)

Big data analytics with Java
par: Mehta, Rajat.
Publié: (2017)

Big data analytics with R
par: Walkowiak, Simon.
Publié: (2016)

Blockchain Data Analytics for Dummies
par: Solomon, Michael G..

Big data analytics with SAS
par: Pope, David.
Publié: (2017)

Big data analytics : a handy reference guide for data analysts and data scientists to help to obtain value from big data analytics using Spark on Hadoop clusters.
par: Ankam, Venkat.
Publié: (2016)

Data Science for Marketing Analytics : Achieve your marketing goals with the data analytics power of Python
par: Blanchard, Tommy.
Publié: (2019)

Learning Einstein analytics : unlock critical insights with salesforce Einstein analytics
par: Chitalkar, Santosh Tukaram.
Publié: (2018)

SQL for Data Analytics : Harness the power of SQL to extract insights from data
par: Shan, Jun.

SQL for Data Analytics : Perform fast and efficient data analysis with the power of SQL
par: Malik, Upom.
Publié: (2019)

Practical Big Data Analytics : Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R
par: Dasgupta, Nataraj.
Publié: (2018)

Data Analytics Made Easy : Use machine learning and data storytelling in your work without writing any code
par: Mauro, Andrea De.
Publié: (2021)

Data Analytics for Marketing : A practical guide to analyzing marketing data using Python
par: Diaz-Bérrio, Guilherme.

Data Analytics with SAS : Explore your data and get actionable insights with the power of SAS
par: Sidana, Nishant.

Learning SAP analytics cloud
par: Ahmed, Riaz.
Publié: (2017)

Learning predictive analytics with R
par: Mayor, Eric.
Publié: (2015)

Data virtualization for business intelligence systems : revolutionizing data integration for data warehouses
par: van der Lans, Rick F..
Publié: (2012)

Simplify Big Data Analytics with Amazon EMR : A beginner's guide to learning and implementing Amazon EMR for building data analytics solutions
par: Mishra, Sakti.
Publié: (2022)

Predictive analytics and data mining : concepts and practice with Rapidminer
par: Kotu, Vijay.
Publié: (2015)

Scala and Spark for big data analytics
par: Karim, Rezaul Md..
Publié: (2017)

Geospatial Data Analytics on AWS : Discover how to manage and analyze geospatial data in the cloud
par: Bateman, Scott.

IoT Data Analytics using Python : Learn how to use Python to collect, analyze, and visualize IoT data (English Edition)
par: Hariharan, M S..

Unstructured Data Analytics : How to Improve Customer Acquisition, Customer Retention, and Fraud Detection and Prevention
par: Isson, Jean Paul (1971-).

Data Analytics: Principles, Tools, and Practices : A Complete Guide for Advanced Data Analytics Using the Latest Trends, Tools, and Technologies
par: Aroraa, Gaurav.

Big data analytics with Hadoop 3 : build highly effective analytics solutions to gain valuable insight into your big data
par: Alla, Sridhar.
Publié: (2018)

Real-time data analytics for large scale sensor data.
par: Das, Himansu.
Publié: (2019)

Scalable Data Analytics with Azure Data Explorer : Modern ways to query, analyze, and perform real-time data analysis on large volumes of data
par: Myerscough, Jason.
Publié: (2022)

Big data analytics : from strategic planning to enterprise integration with tools, techniques, NoSQL, and graph
par: Loshin, David.
Publié: (2014)

Learning social media analytics with R
par: Bali, Raghav (19..-....).
Publié: (2017)

Analytics in a big data world : the essential guide to data science and its applications
par: Baesens, Bart (1975-....).
Publié: (2014)

Python 3 and Data Analytics Pocket Primer
par: Campesato, Oswald.

Practical Real-time Data Processing and Analytics
par: Saxena, Shilpi.
Publié: (2017)

Université catholique de l'Ouest - Bibliothèques - 3 place André Leroy - BP10808 - 49008 ANGERS Cedex 1