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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 Data science for business / Foster PROVOST / O'REILLY (2013)
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 Data Smart / John W FOREMAN, / John Wiley & Sons (2013)
Titre : Data Smart : Using Data Science to Transform Information into Insight Type de document : Livre Auteurs : John W FOREMAN,, Auteur Editeur : John Wiley & Sons Année de publication : 2013 Importance : XX; 409 p. ISBN/ISSN/EAN : 978-1-118-66146-8 Prix : 45 EUR Langues : Anglais (eng) Mots-clés : Management
ANALYSE DES DONNEES ; BANQUE DE DONNEES ; INFORMATIQUERésumé : 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. Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=207833 Exemplaires (2)
Code-barres Cote Support Localisation Section Disponibilité 055164 005.7 FOR Livre Library Campus de Reims Salle de lecture Exclu du prêt J5691 212.68 FOR Livre Library Campus de Rouen Salle de lecture Exclu du prêt Dynamics of governing IT in Singapore / Gary PAN / WORLD SCIENTIFIC (2013)
Titre : Dynamics of governing IT in Singapore : a casebook Type de document : Livre Auteurs : Gary PAN, Auteur Editeur : WORLD SCIENTIFIC Année de publication : 2013 Importance : xii, 282 p. ISBN/ISSN/EAN : 978-981-4417-82-2 Prix : 63 EUR Note générale : Index. Langues : Anglais (eng) Mots-clés : Management
SINGAPOUR ; INNOVATION ; INNOVATION TECHNOLOGIQUE ; INFORMATIQUERésumé : Focusing on issues in the management and governance of IT innovation, this book links concepts and theories of academic learning to actual real-life scenarios from the successful experiences of public and private sector organisations in Singapore. While there is little disagreement that innovation is the fundamental source of value creation and competitive advantage, investment in IT to support and foster innovation by no means guarantees success. There are various issues to be considered, such as the question of processes and structures that need to be in place in order to maximise value, how to leverage IT innovation to formulate constantly evolving strategies so as to seize emergent opportunities, and how to overcome challenges faced in implementation, amongst others. Suitable as a complement to main texts for academic courses on accounting information systems and management information systems, as well as a guide for business professionals in this field, the book provides a concise introduction on the subject through the use of case studies and teaching notes, affording a broad perspective on the most important issues. Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=156728 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 048214 303.48/PAN Livre Library Campus de Reims Salle de lecture Disponible Enjeux et usages du Big Data / Christophe BRASSEUR / Paris : HERMÈS SCIENCE PUBLICATIONS-LAVOISIER (2013)PermalinkInformation arts / Stephen WILSON / THE MIT PRESS (2013)PermalinkIntellectual Property / William CORNISH / Londres : SWEET & MAXWELL (2013)PermalinkLe meilleur du DSCG 5 / Jean-Pierre MARCA / Paris : SUP' FOUCHER (2013)PermalinkModélisation de systèmes complexes avec SysML / Pascal ROQUES / EYROLLES (2013)PermalinkOracle Certified Professional Java Programmer Exam 1Z0-804 And 1Z0-805 (J2SE 7 Platform) / S.G. GANESH / Berkley : APRESS (2013)PermalinkPermalinkAre you smart enough to work at Google / William POUNDSTONE / Oxford : ONEWORLD PUBLICATIONS (2012)PermalinkLe contrat d'externalisation informatique / Véronique-Déborah COHEN / AFNOR (2012)PermalinkCustomer Relationship Management / V. KUMAR / SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO (2012)Permalink
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