Analytics, data science, & artificial intelligence /
Sharda, Ramesh
Analytics, data science, & artificial intelligence / Ramesh Sharda, Oklahoma State University, Dursun Delen, Oklahoma State University, Efraim Turban, University of Hawaii. - Eleventh edition. - xxxv, 795 páginas : ilustraciones
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.
"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"--
COBERTURA BIBLIOGRAFICA:
INF295
Asignatura: Inteligencia artificial
9780135192016
ADMINISTRACIÓN--PROCESAMIENTO DE DATOS
SISTEMAS EXPERTOS ( Ciencia de la Computación)
INTELIGENCIA EN LOS NEGOCIOS
658.403 / S531
Analytics, data science, & artificial intelligence / Ramesh Sharda, Oklahoma State University, Dursun Delen, Oklahoma State University, Efraim Turban, University of Hawaii. - Eleventh edition. - xxxv, 795 páginas : ilustraciones
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.
"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"--
COBERTURA BIBLIOGRAFICA:
INF295
Asignatura: Inteligencia artificial
9780135192016
ADMINISTRACIÓN--PROCESAMIENTO DE DATOS
SISTEMAS EXPERTOS ( Ciencia de la Computación)
INTELIGENCIA EN LOS NEGOCIOS
658.403 / S531