Machine Learning Techniques for Improved Business Analytics

Nonfiction, Computers, Advanced Computing, Theory, General Computing, Business & Finance
Cover of the book Machine Learning Techniques for Improved Business Analytics by , IGI Global
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9781522535362
Publisher: IGI Global Publication: July 6, 2018
Imprint: Business Science Reference Language: English
Author:
ISBN: 9781522535362
Publisher: IGI Global
Publication: July 6, 2018
Imprint: Business Science Reference
Language: English

Analytical tools and algorithms are essential in business data and information systems. Efficient economic and financial forecasting in machine learning techniques increases gains while reducing risks. Providing research on predictive models with high accuracy, stability, and ease of interpretation is important in improving data preparation, analysis, and implementation processes in business organizations. Machine Learning Techniques for Improved Business Analytics is a collection of innovative research on the methods and applications of artificial intelligence in strategic business decisions and management. Featuring coverage on a broad range of topics such as data mining, portfolio optimization, and social network analysis, this book is ideally designed for business managers and practitioners, upper-level business students, and researchers seeking current research on large-scale information control and evaluation technologies that exceed the functionality of conventional data processing techniques.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Analytical tools and algorithms are essential in business data and information systems. Efficient economic and financial forecasting in machine learning techniques increases gains while reducing risks. Providing research on predictive models with high accuracy, stability, and ease of interpretation is important in improving data preparation, analysis, and implementation processes in business organizations. Machine Learning Techniques for Improved Business Analytics is a collection of innovative research on the methods and applications of artificial intelligence in strategic business decisions and management. Featuring coverage on a broad range of topics such as data mining, portfolio optimization, and social network analysis, this book is ideally designed for business managers and practitioners, upper-level business students, and researchers seeking current research on large-scale information control and evaluation technologies that exceed the functionality of conventional data processing techniques.

More books from IGI Global

Cover of the book Phenomenology, Organizational Politics, and IT Design by
Cover of the book Promoting Global Peace and Civic Engagement through Education by
Cover of the book Software and Intelligent Sciences by
Cover of the book Revolutionizing Education through Web-Based Instruction by
Cover of the book Information Technology and Collection Management for Library User Environments by
Cover of the book Transforming Gaming and Computer Simulation Technologies across Industries by
Cover of the book Gender Considerations and Influence in the Digital Media and Gaming Industry by
Cover of the book Handbook of Research on Consumerism in Business and Marketing by
Cover of the book Enabling Technologies and Architectures for Next-Generation Networking Capabilities by
Cover of the book Green Computing Strategies for Competitive Advantage and Business Sustainability by
Cover of the book Organizational Culture and Behavioral Shifts in the Green Economy by
Cover of the book Handbook of Research on Human Factors in Contemporary Workforce Development by
Cover of the book Advanced Image-Based Spam Detection and Filtering Techniques by
Cover of the book Handbook of Research on Design and Management of Lean Production Systems by
Cover of the book Information Technologies, Methods, and Techniques of Supply Chain Management by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy