Business Statistics: For Contemporary Decision Making

Machine Learning for Decision Makers: Cognitive Computing Fundamentals for Better Decision Making

Machine Learning for Decision Makers: Cognitive Computing Fundamentals for Better Decision Making by Patanjali Kashyap
English | 27 Jan. 2018 | ISBN: 1484229878 | 355 Pages | PDF | 4.81 MB

Take a deep dive into the concepts of machine learning as they apply to contemporary business and management. You will learn how machine learning techniques are used to solve fundamental and complex problems in society and industry. them.
Machine Learning for Decision Makers: Cognitive Computing Fundamentals for Better Decision Making

Machine Learning for Decision Makers: Cognitive Computing Fundamentals for Better Decision Making by Patanjali Kashyap
English | 6 Feb. 2018 | ISBN: 1484229878 | 355 Pages | EPUB | 2.67 MB

Moving Out of the Box: Tools for Team Decision Making (Repost)  eBooks & eLearning

Posted by step778 at Jan. 12, 2018
Moving Out of the Box: Tools for Team Decision Making (Repost)

Jana M Kemp, "Moving Out of the Box: Tools for Team Decision Making"
2007 | pages: 182 | ISBN: 0275997065 | PDF | 0,8 mb

Business Statistics For Dummies (Repost)  eBooks & eLearning

Posted by insetes at Jan. 12, 2018
Business Statistics For Dummies (Repost)

Business Statistics For Dummies By Alan Anderson
2013 | 408 Pages | ISBN: 1118630696 | PDF | 47 MB

Casuality, Correlation and Artificial Intelligence for Rational Decision Making  eBooks & eLearning

Posted by First1 at Jan. 5, 2018
Casuality, Correlation and Artificial Intelligence for Rational Decision Making

Casuality, Correlation and Artificial Intelligence for Rational Decision Making by Tshilidzi Marwala
English | January 2nd, 2015 | ASIN: B00RVK0SEA, ISBN: 9814630861 | 208 pages | EPUB | 3.22 MB

Causality has been a subject of study for a long time. Often causality is confused with correlation. Human intuition has evolved such that it has learned to identify causality through correlation. In this book, four main themes are considered and these are causality, correlation, artificial intelligence and decision making.
The Application of Fuzzy Logic for Managerial Decision Making Processes: Latest Research and Case Studies (repost)

Andreas Meier, "The Application of Fuzzy Logic for Managerial Decision Making Processes: Latest Research and Case Studies"
2017 | ISBN-10: 3319540475 | 103 pages | PDF | 3 MB

Business Statistics: Contemporary Decision Making (repost)  eBooks & eLearning

Posted by libr at Feb. 9, 2016
Business Statistics: Contemporary Decision Making (repost)

Ken Black, "Business Statistics: Contemporary Decision Making"
English | 2009 | ISBN: 0470409010 | 864 pages | PDF | 16,9 MB

Business Statistics: Contemporary Decision Making (repost)  eBooks & eLearning

Posted by interes at March 24, 2013
Business Statistics: Contemporary Decision Making (repost)

Ken Black, "Business Statistics: Contemporary Decision Making"
English | 2009 | ISBN: 0470409010 | 864 pages | PDF | 16,9 MB

Applying the Power of Statistics to business Strategies.
Every business area relies on an understanding of statistics to succeed. Ken black's business Statistics: contemporary Decision making effectively equips students with the quantitative decision-making skills and analysis techniques needed to make smart decisions based on real-world data.
Financial Literacy for Managers: Finance and Accounting for Better Decision-Making [Audiobook]

Richard A. Lambert, Kaleo Griffith (Narrator), "Financial Literacy for Managers: Finance and Accounting for Better Decision-Making"
ASIN: B00GXEZUYS | 2013 | MP3@64 kbps | ~05:25:00 | 154 MB

Soft Computing Applications for Group Decision-making and Consensus Modeling  eBooks & eLearning

Posted by AvaxGenius at July 1, 2017
Soft Computing Applications for Group Decision-making and Consensus Modeling

Soft Computing Applications for Group Decision-making and Consensus Modeling By Mikael Collan, Janusz Kacprzyk
English | PDF | 2018 | 491 Pages | ISBN : 3319602063 | 13 MB

This book offers a concise introduction and comprehensive overview of the state of the art in the field of decision-making and consensus modeling, with a special emphasis on fuzzy methods. It consists of a collection of authoritative contributions reporting on the decision-making process from different perspectives: from psychology to social and political sciences, from decision sciences to data mining, and from computational sciences in general, to artificial and computational intelligence and systems.