Mots-clés
Documents disponibles dans cette catégorie (186)
![](./images/expand_all.gif)
![](./images/collapse_all.gif)
![Tris disponibles](./images/orderby_az.gif)
Etendre la recherche sur niveau(x) vers le haut et vers le bas
Titre : Steve Jobs : Figure mythique Type de document : Livre Auteurs : Antoine DUBUQUOY ; David BRUNAT Editeur : Paris : SOCIETE D'EDITION "LES BELLES LETTRES" Année de publication : 2014 Collection : Vérité des mythes Importance : 172 p. ISBN/ISSN/EAN : 13 978-2-251-38568-6 Prix : 20 EUR Langues : Français (fre) Mots-clés : Management
HISTOIRE DE L'ENTREPRISE ; INFORMATIQUE ; CHEF D'ENTREPRISE
Entreprise
APPLEIndex. décimale : 112.64 HISTOIRE DE L'ENTREPRISE Résumé : Ce livre présente la figure de Steve Jobs et l'histoire d'Apple à la lumière des grands mythes modernes et antiques et à l'aune de la mythologie populaire américaine. Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=111601 Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité J3068 112.64 DUB Livre Library Campus de Rouen Salle de lecture Disponible
Titre : The second machine age : Work, progress, and prosperity in a time of brilliant technologies Type de document : Livre Auteurs : Erik BRYNJOLFSSON ; Andrew MCAFEE Editeur : W. W. NORTON & COMPANY Année de publication : 2014 Importance : 306 p. ISBN/ISSN/EAN : 978-0-393-23935-5 Prix : 23 EUR Langues : Anglais (eng) Mots-clés : Management
INTELLIGENCE ARTIFICIELLE ; INNOVATION TECHNOLOGIQUE ; TIC ; ORGANISATION ; MANAGEMENT DES CONNAISSANCES ; ECONOMIE DU SAVOIR ; INFORMATIQUEIndex. décimale : 224.55 TIC Résumé : Effets des nouvelles technologies sur l'économie et la société. L'ère du digital et les business models, l'entreprise 2.0, le savoir. Note de contenu : Index Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=112097 Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 048147 658.406/BRY Livre Library Campus de Reims Salle de lecture Disponible J2422 224.55 BRY Livre Library Campus de Rouen Salle de lecture Disponible
Titre : Data Science for Business : What You Need to Know about Data Mining and Data-Analytic Thinking Type de document : e-book Auteurs : Foster PROVOST ; Tom FAWCETT Editeur : O'REILLY MEDIA Année de publication : 2013 Importance : 414 p. ISBN/ISSN/EAN : 978-1-4493-7429-7 Langues : Anglais (eng) Mots-clés : Management
INFORMATIQUE ; BASE DE DONNEES ; ANALYSE DES DONNEES ; STRATEGIERésumé : Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You'll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company's data science projects. You'll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making. Understand how data science fits in your organization--and how you can use it for competitive advantage. Treat data as a business asset that requires careful investment if you're to gain real value. Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way Learn general concepts for actually extracting knowledge from data. Apply data science principles when interviewing data science job candidates. Nombre d'accès : 1 En ligne : http://library.ez.neoma-bs.fr/login?url=https://ebookcentral.proquest.com/lib/ne [...] Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=534962
Titre : Data science for business : what you need to know about data mining and data-analytic thinking Type de document : Livre Auteurs : Foster PROVOST ; Tom FAWCETT Editeur : O'REILLY Année de publication : 2013 Importance : XXI-386 p. ISBN/ISSN/EAN : 978-1-4493-6132-7 Prix : 48 EUR Langues : Anglais (eng) Mots-clés : Management
ANALYSE DES DONNEES ; BASE DE DONNEES ; INFORMATIQUE ; STRATEGIEIndex. décimale : 212.68 ANALYSE DES DONNEES Résumé : This broad, deep, but not-to-technical quide introduces you to the fundamental principes of data scicence and walks you through the data-analytic thinking necessary for extracting useful knowledge and business value from the data you collect. By learning data science principles, you will understand the many data mining techniques in use today. More impotantly, these principles underpin the processes and strategies necessary to solve business problems through data mining techniques. Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=535178 Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 055645 006.3 PRO Livre Library Campus de Reims Salle de lecture Exclu du prêt J6777 212.68 PRO Livre Library Campus de Rouen Salle de lecture Exclu du prêt
Titre : Data smart : using data science to transform information into insight Type de document : e-book Auteurs : John W FOREMAN,, Auteur Editeur : John Wiley & Sons Année de publication : 2013 Importance : xx, 409 p. Présentation : illustrations (black and white) ISBN/ISSN/EAN : 978-1-118-66148-2 Langues : Anglais (eng) Mots-clés : Management
ANALYSE DES DONNEES ; BANQUE DE DONNEES ; ENVIRONNEMENT SCIENTIFIQUE ; INFORMATIQUEMots-clés candidats : Data mining. Index. décimale : 006.3 Résumé : Data Science gets thrown around in the press like it`s magic. Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It`s a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions. But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope. Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart , author and data scientist John Foreman will show you how that`s done within the familiar environment of a spreadsheet. Why a spreadsheet? It`s comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don`t let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data. Each chapter will cover a different technique in a spreadsheet so you can follow along: Mathematical optimization, including non-linear programming and genetic algorithms Clustering via k-means, spherical k-means, and graph modularity Data mining in graphs, such as outlier detection Supervised AI through logistic regression, ensemble models, and bag-of-words models Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation Moving from spreadsheets into the R programming language You get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You`ll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know. Note de contenu : Index. Nombre d'accès : 1 En ligne : http://www.vlebooks.com/vleweb/product/openreader?id=Neoma&accId=9169105&isbn=97 [...] Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=159776 PermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkDCG, n° 8. Systèmes d'information de gestion - DCG n° 8 / Annelise COULEAU-DUPONT / Paris : NATHAN (2012)
PermalinkPermalinkPermalink
![rss](https://cataloguelibrary.neoma-bs.fr/images/rss.png)
-
59 Rue Taittinger, 51100 Reims
-
00 33 (0)3 26 77 46 15
-
Library Campus Reims
-
1 Rue du Maréchal Juin, BP 215
76825 Mont Saint Aignan cedex -
00 33 (0)2 32 82 58 26
-