Syndetics omslagsbild
Bild från Syndetics

Artificial intelligence for business / Rajendra Akerkar.

Av: Språk: Engelska Serie: SpringerBriefs in BusinessUtgivningsuppgift: Cham, Switzerland : Springer, [2019]Datum för upphovsrätt: ©2019Beskrivning: xi, 81 pages color illustrations 24 cmInnehållstyp:
  • text
Medietyp:
  • unmediated
Bärartyp:
  • volume
ISBN:
  • 3319974351
  • 9783319974354
Ämnen: DDK-klassifikation:
  • 006.3 23
Library of Congress (LC) klassifikationskod:
  • TA347.A78
Annan klassifikation:
  • Pud
Bestånd
Exemplartyp Aktuellt bibliotek Placering Hyllsignatur Status Förfallodatum Streckkod Exemplarreservationer
Kurslitteratur Biblioteket HKR Biblioteket 006.3 Akerkar Tillgänglig 11156000190016
Kurslitteratur Biblioteket HKR Biblioteket 006.3 Akerkar Tillgänglig 11156000190014
Antal reservationer: 0

Förbättrade beskrivningar från Syndetics:

This book offers a practical guide to artificial intelligence (AI) techniques that are used in business. The book does not focus on AI models and algorithms, but instead provides an overview of the most popular and frequently used models in business. This allows the book to easily explain AI paradigms and concepts for business students and executives. Artificial Intelligence for Business is divided into six chapters. Chapter 1 begins with a brief introduction to AI and describes its relationship with machine learning, data science and big data analytics. Chapter 2 presents core machine learning workflow and the most effective machine learning techniques. Chapter 3 deals with deep learning, a popular technique for developing AI applications. Chapter 4 introduces recommendation engines for business and covers how to use them to be more competitive. Chapter 5 features natural language processing (NLP) for sentiment analysis focused on emotions. With the help of sentiment analysis, businesses can understand their customers better to improve their experience, which will help the businesses change their market position. Chapter 6 states potential business prospects of AI and the benefits that companies can realize by implementing AI in their processes.

Includes bibliographical references (page 81).

Imported from: zcat.oclc.org:210/OLUCWorldCat (Do not remove)