03450nam 2200481 450 991042768670332120210211234015.03-030-36375-910.1007/978-3-030-36375-8(CKB)4100000011445386(DE-He213)978-3-030-36375-8(MiAaPQ)EBC6348885(PPN)250222558(EXLCZ)99410000001144538620210211d2020 uy 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierApplying data science how to create value with artificial intelligence /Arthur K. Kordon1st ed. 2020.Cham, Switzerland :Springer,[2020]©20201 online resource (XXXII, 494 p. 262 illus., 195 illus. in color.) 3-030-36374-0 Part I, From Business Problems to Data Science -- Data Science Based on Artificial Intelligence -- Business Problems Dependent on Data -- Artificial Intelligence-Based Data Science Solutions -- Integrate and Conquer -- The Lost-in-Translation Trap -- Part II, The AI-Based Data Science Toolbox -- The AI-Based Data Science Workflow -- Problem Knowledge Acquisition -- Data Preparation -- Data Analysis -- Model Development -- The Model Deployment Life Cycle -- Part III, AI-Based Data Science in Action -- Infrastructure -- People -- Applications of AI-Based Data Science in Manufacturing -- Applications of AI-Based Data Science in Business -- How to Operate AI-Based Data Science in a Business -- How to Become an Effective Data Scientist -- Glossary.This book offers practical guidelines on creating value from the application of data science based on selected artificial intelligence methods. In Part I, the author introduces a problem-driven approach to implementing AI-based data science and offers practical explanations of key technologies: machine learning, deep learning, decision trees and random forests, evolutionary computation, swarm intelligence, and intelligent agents. In Part II, he describes the main steps in creating AI-based data science solutions for business problems, including problem knowledge acquisition, data preparation, data analysis, model development, and model deployment lifecycle. Finally, in Part III the author illustrates the power of AI-based data science with successful applications in manufacturing and business. He also shows how to introduce this technology in a business setting and guides the reader on how to build the appropriate infrastructure and develop the required skillsets. The book is ideal for data scientists who will implement the proposed methodology and techniques in their projects. It is also intended to help business leaders and entrepreneurs who want to create competitive advantage by using AI-based data science, as well as academics and students looking for an industrial view of this discipline.Artificial intelligenceBusinessData processingBig dataArtificial intelligence.BusinessData processing.Big data.658.0563Kordon Arthur K.994821MiAaPQMiAaPQMiAaPQBOOK9910427686703321Applying data science2278658UNINA