Data Science for Business

Name: Data Science for Business
Price: 481.00 SEK
Availability: InStock
Author: Foster Provost, Tom Fawcett
ISBN: 9781449361327

What You Need to Know About Data Mining and Data-Analytic Thinking

av Foster Provost, Tom Fawcett

Häftad, Engelska, 2013-09-17

481

Köp

Spara som favorit

Skickas från oss inom 5-8 vardagar.
Fri frakt över 249 kr för privatkunder i Sverige.

Finns även som

E-bok (LCP)

Ladda ned och läs i Bokus Reader.

386
E-bok (LCP)

Ladda ned och läs i Bokus Reader.

413

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

Passar bra ihop

De som köpt den här boken har ofta också köpt Apple in China av Patrick McGee, Patrick McGee (inbunden).

Köp båda 2 för 788 kr

Applications of Data Mining to Electronic Commerce

Ronny Kohavi, Foster Provost

Applications of Data Mining to Electronic Commerce brings together in one place important contributions and up-to-date research results in this fast moving area. Applications of Data Mining to Electronic Commerce serves as an excellent reference, ...

1094

Köp

Skickas inom vardagar.

Foster Provost is a Professor and NEC Faculty Fellow at the NYU Stern School of Business, where he has taught data science to MBAs for 15 years. His research and teaching focus on data science, machine learning, business analytics, (social) network data, and crowd-sourcing for data analytics. Tom Fawcett has a Ph.D. in machine learning from UMass-Amherst and has worked in industrial research (GTE Laboratories, NYNEX/Verizon Labs, HP Labs, etc.). He has served as action editor of the Machine Learning journal, before which he was an editorial board member.