AccueilGroupesDiscussionsPlusTendances
Site de recherche
Ce site utilise des cookies pour fournir nos services, optimiser les performances, pour les analyses, et (si vous n'êtes pas connecté) pour les publicités. En utilisant Librarything, vous reconnaissez avoir lu et compris nos conditions générales d'utilisation et de services. Votre utilisation du site et de ses services vaut acceptation de ces conditions et termes.

Résultats trouvés sur Google Books

Cliquer sur une vignette pour aller sur Google Books.

Data Science for Business: What you need to…
Chargement...

Data Science for Business: What you need to know about data mining and data-analytic thinking (édition 2013)

par Foster Provost, Tom Fawcett

MembresCritiquesPopularitéÉvaluation moyenneMentions
2821297,421 (3.69)2
Written by renowned data science experts Foster Provost and Tom Fawcett, 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… (plus d'informations)
Membre:jorge.villuendas
Titre:Data Science for Business: What you need to know about data mining and data-analytic thinking
Auteurs:Foster Provost
Autres auteurs:Tom Fawcett
Info:O'Reilly Media (2013), Edition: 1, Paperback, 408 pages
Collections:Votre bibliothèque
Évaluation:
Mots-clés:non-fiction ai

Information sur l'oeuvre

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking par Foster Provost

Chargement...

Inscrivez-vous à LibraryThing pour découvrir si vous aimerez ce livre

Actuellement, il n'y a pas de discussions au sujet de ce livre.

» Voir aussi les 2 mentions

Este guia amplo, profundo, porém não muito técnico, apresenta a você os princípios fundamentais do Data Science e orienta-o através do "pensamento analítico" necessário para extrair conhecimento útil e valor de negócios a partir dos dados que você obtém. Ao aprender os princípios do Data Science, você compreenderá as diversas técnicas de mineração de dados usadas hoje. Mais importante ainda, esses princípios sustentam os processos e as estratégias necessárias para resolver problemas de negócios por meio das técnicas de mineração de dados.
  lpdd | Apr 15, 2023 |
Includes numerous very nice charts illustrating statistical analysis techniques. ( )
  deldevries | Feb 6, 2023 |
Este guia amplo, profundo, porém não muito técnico, apresenta a você os princípios fundamentais do Data Science e orienta-o através do “pensamento analítico” necessário para extrair conhecimento útil e valor de negócios a partir dos dados que você obtém. Ao aprender os princípios do Data Science, você compreenderá as diversas técnicas de mineração de dados usadas hoje. Mais importante ainda, esses princípios sustentam os processos e as estratégias necessárias para resolver problemas de negócios por meio das técnicas de mineração de dados.ELOGIOS SOBRE O LIVRO:“Este livro vai além da análise de dados para principiantes. É o guia essencial para aqueles (ou todos?) cujas empresas são construídas sobre a onipresença das oportunidades de dados e a nova ordem de tomada de decisão baseada em dados.”― Tom Phillips, CEO Dstillery; ex-diretor do Google Search e Analytics“Os dados são o alicerce das novas ondas de crescimento de produtividade, inovação e visão mais rica do cliente. Apenas recentemente visto como uma fonte de vantagem competitiva, lidar bem com os dados está rapidamente se tornando um requisito mínimo para entrar no jogo. A profunda experiência aplicada dos autores faz com que esta seja uma leitura obrigatória ― uma janela para a estratégia de seu concorrente.”― Alan Murray, Empreendedor serial; Parceiro Coriolis Ventures
  JefersonMello | Aug 25, 2021 |
Well written and the conversational style make it an easy read.
My goal was to dig beneath the hype, and this book does that perfectly.
Gave a solid grounding of big data concepts and theories.
Relevant examples were used to explain techniques, but some of the stats/math terminology was over my head.

It will serve as my big data reference book.

( )
  MickBrooke | Jan 2, 2019 |
This is a great book from a Business perspective on Data Science, I would definitely recommend this to anyone interested in doing business. It is fascinating, to see how data science is intersecting every fields.
( )
  gottfried_leibniz | Apr 5, 2018 |
Affichage de 1-5 de 13 (suivant | tout afficher)
aucune critique | ajouter une critique

» Ajouter d'autres auteur(e)s

Nom de l'auteurRôleType d'auteurŒuvre ?Statut
Foster Provostauteur principaltoutes les éditionscalculé
Fawcett, TomAuteurauteur principaltoutes les éditionsconfirmé
Vous devez vous identifier pour modifier le Partage des connaissances.
Pour plus d'aide, voir la page Aide sur le Partage des connaissances [en anglais].
Titre canonique
Informations provenant du Partage des connaissances portugais (Brésil). Modifiez pour passer à votre langue.
Titre original
Titres alternatifs
Date de première publication
Personnes ou personnages
Lieux importants
Évènements importants
Films connexes
Épigraphe
Dédicace
Premiers mots
Citations
Derniers mots
Notice de désambigüisation
Directeur de publication
Courtes éloges de critiques
Langue d'origine
DDC/MDS canonique
LCC canonique

Références à cette œuvre sur des ressources externes.

Wikipédia en anglais

Aucun

Written by renowned data science experts Foster Provost and Tom Fawcett, 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

Aucune description trouvée dans une bibliothèque

Description du livre
Résumé sous forme de haïku

Critiques des anciens de LibraryThing en avant-première

Le livre Data Science for Business de Foster Provost était disponible sur LibraryThing Early Reviewers.

Discussion en cours

Aucun

Couvertures populaires

Vos raccourcis

Évaluation

Moyenne: (3.69)
0.5
1 2
1.5
2
2.5 1
3 6
3.5 1
4 10
4.5
5 6

Est-ce vous ?

Devenez un(e) auteur LibraryThing.

 

À propos | Contact | LibraryThing.com | Respect de la vie privée et règles d'utilisation | Aide/FAQ | Blog | Boutique | APIs | TinyCat | Bibliothèques historiques | Critiques en avant-première | Partage des connaissances | 211,867,202 livres! | Barre supérieure: Toujours visible