Big data et machine learning : les concepts et les outils de la data science

Big data et machine learning : les concepts et les outils de la data science

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Xehetasun bibliografikoak
Egile nagusia:	Lemberger, Pirmin. (Egilea)
Beste egile batzuk:	Morel, Médéric. (Auteur), Batty, Marc., Raffaëlli, Jean-Luc.
Formatua:	E-Book
Hizkuntza:	Français
Argitaratua:	Malakoff : Dunod, 2019.
Gaiak:	Analyse des données > Aspect économique. Apprentissage automatique. Exploration de données. Données massives.
Autres localisations:	Voir dans le Sudoc
Sarrera elektronikoa:	Accès à l'E-book

Antzeko izenburuak

Les data sciences en 100 questions-réponses
nork: Benzaki, Younes.
Argitaratua: (2020)

Python pour le data scientist : des bases du langage au machine learning
nork: Jakobowicz, Emmanuel (1980-....).

Big Data MBA : driving business strategies with data science
nork: Schmarzo, Bill.
Argitaratua: (2015)

Deep learning by example : a hands-on guide to implementing advanced machine learning algorithms and neural networks
nork: Menshawy, Ahmed.
Argitaratua: (2018)

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

XIe journées francophones sur les entrepôts de données et l'analyse en ligne : EDA'15 : [Bruxelles, 2 et 3 avril 2015]

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.
nork: Ankam, Venkat.
Argitaratua: (2016)

Introduction au machine learning
nork: Azencott, Chloé-Agathe (19..-....).
Argitaratua: (2022)

Real-time big data analytics : design, process, and analyze large sets of complex data in real time
nork: Gupta, Sumit.
Argitaratua: (2016)

Statistics, Data Mining, and Machine Learning in Astronomy : A Practical Python Guide for the Analysis of Survey Data
nork: Ivezic, Zeljko (1965-....).
Argitaratua: (2019)

Machine learning : expert techniques to tackle complex machine learning problems using Python
nork: Thanaki, Jalaj.
Argitaratua: (2018)

Xe journées francophones sur les entrepôts de données et l'analyse en ligne : EDA'14 : [Vichy, Pôle universitaire Lardy, 5 et 6 juin 2014]

Big data : un changement de paradigme peut en cacher un autre : opportunités et menaces liées à l'émergence de nouveaux écosystèmes : rapport de l'Académie des technologies de la Commission TIC
Argitaratua: (2016)

Introduction to statistical machine learning
nork: Sugiyama, Masashi.
Argitaratua: (2015)

Recherche d'information : applications, modèles et algorithmes : fouille de données, décisionnel et big data
nork: Amini, Massih-Reza (19..-....; chercheur en informatique).
Argitaratua: (2013)

Extraction et gestion des connaissances : EGC'2016 : [16ème conférence francophone sur l'extraction et la gestion des connaissances, Reims, 18-22 janvier 2016]

Extraction et gestion des connaissances : EGC'2015

Knowledge discovery in big data from astronomy and Earth observation : astrogeoinformatics
nork: Škoda, Petr.
Argitaratua: (2020)

Big data analytics with Java
nork: Mehta, Rajat.
Argitaratua: (2017)

Big data analytics
nork: Rao, Calyampudi Radhakrishna (1920-2023).
Argitaratua: (2015)

Data science par la pratique : fondamentaux avec Python
nork: Grus, Joel (19..-....).
Argitaratua: (2020)

Data feminism
nork: D'Ignazio, Catherine (1975-....).
Argitaratua: (2020)

Java data mining : strategy, standard, and practice : a practical guide for architecture, design, and implementation
nork: Hornick, Mark F..
Argitaratua: (2010)

La boîte à outils de la stratégie big data
nork: Rissoan, Romain.
Argitaratua: (2018)

La data science pour modéliser les systèmes complexes : optimiser la prédiction, l'estimation et l'interprétation
nork: Chautard, Alain (19..-....).
Argitaratua: (2022)

Mathematica Data Analysis : learn and explore the fundamentals of data anlysis with the power of Mathematica
nork: Suchok, Sergiy.
Argitaratua: (2015)

Data Analysis for Scientists and Engineers
nork: Robinson, Edward L..
Argitaratua: (2017)

Julia for data science : explore the world of data science from scratch with Julia by your side
nork: Joshi, Anshul.
Argitaratua: (2016)

Hands-on data science and Python machine learning : perform data mining and machine learning efficiently using Python and Spark
nork: Kane, Frank.
Argitaratua: (2017)

Apache Mahout essentials : implement top-notch machine learning algorithms for classification, clustering, and recommendations with Apache Mahout
nork: Withanawasam (Jayani).
Argitaratua: (2015)

Statistics for big data for dummies.
Argitaratua: (2015)

Data warehousing in the age of big data
nork: Krishnan, Krish.
Argitaratua: (2013)

Building big data applications
nork: Krishnan, Krish.
Argitaratua: (2019)

Big data, data mining, and machine learning : value creation for business leaders and practitioners
nork: Dean, Jared (1978-...).

Big Data et visibilité en ligne : un enjeu pluridisciplinaire de l'économie numérique
nork: Alcantara, Christophe (1970-....; enseignant chercheur en sciences de l'information et de la communication).
Argitaratua: (2022)

Big Data revolution : what farmers, doctors and insurance agents teach us about discovering Big Data patterns
nork: Thomas, Rob.

Geophysical data analysis : discrete inverse theory
nork: Menke, William.
Argitaratua: (2018)

Principles of big data preparing, sharing, and analyzing complex information
nork: Berman, Jules J..
Argitaratua: (2013)

Data science with Jupyter : master data science skills with easy-to-follow Python examples
nork: Gupta, Prateek.

Data Sciences: From First-Order Logic to the Web : Inaugural lecture given on Thursday 8 March 2012
nork: Abiteboul, Serge (1953-....).

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