Artificial intelligence for business. (2018)

• Record Type: Book
• Further Information: Note: Rajendra Akerkar.
• Authors: Akerkar, Rajendra
• Contents: Intro; Preface; Contents; Introduction to Artificial Intelligence; Data; Information; Knowledge; Intelligence; Basic Concepts of Artificial Intelligence; Benefits of AI; Data Pyramid; Property of Autonomy; Situation Awareness; Business Innovation with Big Data and Artificial Intelligence; Overlapping of Artificial Intelligence with Other Fields; Ethics and Privacy Issues; AI and Predictive Analytics; Application Areas; Clustering or Segmentation; Psychographic Personas; Machine Learning; Introduction; Machine Learning Workflow; Learning Algorithms; Linear Regression; k-Nearest Neighbour Decision TreesFeature Construction and Data Reduction; Random Forest; k-Means Algorithm; Dimensionality Reduction; Reinforcement Learning; Gradient Boosting; Neural Networks; Deep Learning; Introduction; Analysing Big Data; Different Deep Learning Models; Autoencoders; Deep Belief Net; Convolutional Neural Networks; Recurrent Neural Networks; Reinforcement Learning to Neural Networks; Applications of Deep Learning in Business; Business Use Case Example: Deep Learning for e-Commerce; Recommendation Engines; Introduction; Recommendation System Techniques; Content-Based Recommendations Item RepresentationsUser Profiles; Learning of User Models; Collaborative Recommendations; Hybrid Approaches; Applications of Recommendation Engines in Business; Collection of Data; Storing the Data; Analysing the Data; Product Recommendation Algorithm; Business Use Case; Natural Language Processing; Introduction; Morphological Processing; Syntax and Semantics; Semantics and Pragmatics; Use Cases of NLP; Text Analytics; Sentiment Analysis; Sentiment Analysis Use Cases; Challenges of Sentiment Analysis; Applications of NLP in Business; Customer Service; Reputation Monitoring Market IntelligenceSentiment Technology in Business; Employing AI in Business; Analytics Landscape; Application Areas; Complexity of Analytics; Descriptive Analytics; Predictive Analytics; Prescriptive Analytics; Embedding AI into Business Processes; Implementation and Action; Artificial Intelligence for Growth; AI for Customer Service; Applying AI for Marketing; Glossary; References
• Publisher Details: Cham : Springer
• Publication Date: 2018
• Extent: 1 online resource
• Subjects: 006.3; Business; Artificial intelligence; Business enterprises -- Technological innovations; COMPUTERS / General; Artificial intelligence; Business enterprises -- Technological innovations; Computers -- Intelligence (AI) & Semantics; Business & Economics -- Production & Operations Management; Artificial intelligence; Research & development management; Management science; Information technology; Management; Business & Economics -- Information Management; Business mathematics & systems; Electronic books
• Languages: English
• ISBNs: 9783319974361
• Related ISBNs: 331997436X; 9783319974354; 3319974351
• Notes: Note: Includes bibliographical references.; Note: Online resource; title from PDF title page (EBSCO, viewed August 15, 2018)
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.