TY  - BOOK
AU  - Sharda,Ramesh
AU  - Delen,Dursun
AU  - Turban,Efraim
TI  - Analytics, data science, & artificial intelligence
SN  - 9780135192016
U1  - 658.403 23
PY  - 2020///]
CY  - Hoboken, NJ
PB  - Pearson
KW  - ADMINISTRACIÓN
KW  - PROCESAMIENTO DE DATOS
KW  - SISTEMAS EXPERTOS ( Ciencia de la Computación)
KW  - INTELIGENCIA EN LOS NEGOCIOS
N1  - PART I: INTRODUCTION TO ANALYTICS AND AI--
An Overview of Business Analytics, Decision Support Systems, Business Intelligence, Data Science, and Artificial Intelligence--Artificial Intelligence: Concepts, Drivers, Major Technologies, and Business Applications -- Nature of Data, Statistical Modeling, and Visualization --
PART II: PREDICTIVE ANALYTICS AND MACHINE LEARNING-- 
Data Mining Process, Methods, and Applications--Machine learning Techniques for Predictive Analytics--Deep Learning and Cognitive Computing--Text Mining, Sentiment Analysis, and Social Analytics --
PART III: PRESCRIPTIVE ANALYTICS AND BIG DATA--
Prescriptive Analytics with Optimization and Simulation--Big Data, Location Analytics, and Cloud Computing-- 
PART IV: ROBOTICS, SOCIAL NETWORKS, AI, AND IoT--
Robotics: Industrial and Consumer Applications--Group Decision Making, Collaborative Systems, and AI Support--Knowledge Systems: Expert Systems, Recommenders, Chatbots, Virtual Personal Assistants, and Robo Advisors--The Internet of Things As a Platform for Intelligent Applications. 
PART V: CAVEATS OF ANALYTICS AND AI --
Implementation Issues: From Ethics and Privacy to Organizational and Societal Impacts; COBERTURA BIBLIOGRAFICA:
INF295
Asignatura: Inteligencia artificial
N2  - "The purpose of this book is to introduce the reader to these technologies that are generally called analytics but have been known by other names. The core technology consists of DSS, BI, and various decision-making techniques. We use these terms interchangeably"--
UR  - https://bibliotecadigital.usm.cl/info/01690496
ER  -