Measuring and Forecasting General Business Conditions
Author : Warren Milton Persons
Publisher :
Page : 56 pages
File Size : 35,61 MB
Release : 1920
Category : Business
ISBN :
Author : Warren Milton Persons
Publisher :
Page : 56 pages
File Size : 35,61 MB
Release : 1920
Category : Business
ISBN :
Author :
Publisher :
Page : 770 pages
File Size : 44,67 MB
Release : 1928
Category : Economics
ISBN :
Author :
Publisher :
Page : 636 pages
File Size : 44,90 MB
Release : 1928
Category : Economics
ISBN :
Author : Newark Public Library. Business Branch
Publisher :
Page : 612 pages
File Size : 37,90 MB
Release : 1927
Category : Business
ISBN :
Author :
Publisher :
Page : 832 pages
File Size : 25,40 MB
Release : 1926
Category : Corporations
ISBN :
Has supplements.
Author : Warren Milton Persons
Publisher :
Page : 42 pages
File Size : 32,73 MB
Release : 1929
Category : Business
ISBN :
Author : William Leonard Crum
Publisher :
Page : 28 pages
File Size : 23,24 MB
Release : 1925
Category : United States
ISBN :
Author : University of Illinois (Urbana-Champaign campus). Bureau of Economic and Business Research
Publisher :
Page : 60 pages
File Size : 45,34 MB
Release : 1928
Category : Business cycles
ISBN :
Author : Newark Public Library. Business Branch
Publisher :
Page : 612 pages
File Size : 23,22 MB
Release : 1927
Category : Business
ISBN :
Author : Michael Gilliland
Publisher : John Wiley & Sons
Page : 435 pages
File Size : 36,25 MB
Release : 2021-05-11
Category : Business & Economics
ISBN : 1119782473
Discover the role of machine learning and artificial intelligence in business forecasting from some of the brightest minds in the field In Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning accomplished authors Michael Gilliland, Len Tashman, and Udo Sglavo deliver relevant and timely insights from some of the most important and influential authors in the field of forecasting. You'll learn about the role played by machine learning and AI in the forecasting process and discover brand-new research, case studies, and thoughtful discussions covering an array of practical topics. The book offers multiple perspectives on issues like monitoring forecast performance, forecasting process, communication and accountability for forecasts, and the use of big data in forecasting. You will find: Discussions on deep learning in forecasting, including current trends and challenges Explorations of neural network-based forecasting strategies A treatment of the future of artificial intelligence in business forecasting Analyses of forecasting methods, including modeling, selection, and monitoring In addition to the Foreword by renowned researchers Spyros Makridakis and Fotios Petropoulos, the book also includes 16 "opinion/editorial" Afterwords by a diverse range of top academics, consultants, vendors, and industry practitioners, each providing their own unique vision of the issues, current state, and future direction of business forecasting. Perfect for financial controllers, chief financial officers, business analysts, forecast analysts, and demand planners, Business Forecasting will also earn a place in the libraries of other executives and managers who seek a one-stop resource to help them critically assess and improve their own organization's forecasting efforts.