Machine Learning Techniques for Improved Business Analytics

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  • Author : G., Dileep Kumar
  • Publisher : IGI Global
  • Pages : 286 pages
  • ISBN : 1522535357
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Machine Learning Techniques for Improved Business Analytics

Download or Read online Machine Learning Techniques for Improved Business Analytics full in PDF, ePub and kindle. this book written by G., Dileep Kumar and published by IGI Global which was released on 06 July 2018 with total page 286 pages. We cannot guarantee that Machine Learning Techniques for Improved Business Analytics book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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.

Machine Learning Techniques for Improved Business Analytics

Machine Learning Techniques for Improved Business Analytics
  • Author : G., Dileep Kumar
  • Publisher : IGI Global
  • Release : 06 July 2018
GET THIS BOOK Machine Learning Techniques for Improved Business Analytics

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

Challenges and Applications of Data Analytics in Social Perspectives

Challenges and Applications of Data Analytics in Social Perspectives
  • Author : Sathiyamoorthi, V.,Elci, Atilla
  • Publisher : IGI Global
  • Release : 04 December 2020
GET THIS BOOK Challenges and Applications of Data Analytics in Social Perspectives

With exponentially increasing amounts of data accumulating in real-time, there is no reason why one should not turn data into a competitive advantage. While machine learning, driven by advancements in artificial intelligence, has made great strides, it has not been able to surpass a number of challenges that still prevail in the way of better success. Such limitations as the lack of better methods, deeper understanding of problems, and advanced tools are hindering progress. Challenges and Applications of Data Analytics

Improving E Commerce Web Applications Through Business Intelligence Techniques

Improving E Commerce Web Applications Through Business Intelligence Techniques
  • Author : Sreedhar, G.
  • Publisher : IGI Global
  • Release : 02 February 2018
GET THIS BOOK Improving E Commerce Web Applications Through Business Intelligence Techniques

As the Internet becomes increasingly interconnected with modern society, the transition to online business has developed into a prevalent form of commerce. While there exist various advantages and disadvantages to online business, it plays a major role in contemporary business methods. Improving E-Commerce Web Applications Through Business Intelligence Techniques provides emerging research on the core areas of e-commerce web applications. While highlighting the use of data mining, search engine optimization, and online marketing to advance online business, readers will learn

Machine Learning Techniques for Multimedia

Machine Learning Techniques for Multimedia
  • Author : Matthieu Cord,Pádraig Cunningham
  • Publisher : Springer Science & Business Media
  • Release : 07 February 2008
GET THIS BOOK Machine Learning Techniques for Multimedia

Processing multimedia content has emerged as a key area for the application of machine learning techniques, where the objectives are to provide insight into the domain from which the data is drawn, and to organize that data and improve the performance of the processes manipulating it. Arising from the EU MUSCLE network, this multidisciplinary book provides a comprehensive coverage of the most important machine learning techniques used and their application in this domain.

Business Analytics

Business Analytics
  • Author : Sanz Jorge L C
  • Publisher : World Scientific
  • Release : 29 September 2016
GET THIS BOOK Business Analytics

Technological advances in the last five years have allowed organizations to use Business Analytics to provide insights, increase understanding and it is hoped, gain the elusive 'competitive edge'. The rapid development of Business Analytics is impacting all enterprise competences profoundly and classical business professions are being redefined by a much deeper interplay between business and information systems. As computing capabilities for analysis has moved outside the IT glass-house and into the sphere of individual workers, they are no longer the

Encyclopedia of Business Analytics and Optimization

Encyclopedia of Business Analytics and Optimization
  • Author : Wang, John
  • Publisher : IGI Global
  • Release : 28 February 2014
GET THIS BOOK Encyclopedia of Business Analytics and Optimization

As the age of Big Data emerges, it becomes necessary to take the five dimensions of Big Data- volume, variety, velocity, volatility, and veracity- and focus these dimensions towards one critical emphasis - value. The Encyclopedia of Business Analytics and Optimization confronts the challenges of information retrieval in the age of Big Data by exploring recent advances in the areas of knowledge management, data visualization, interdisciplinary communication, and others. Through its critical approach and practical application, this book will be

Computational Intelligence Communications and Business Analytics

Computational Intelligence  Communications  and Business Analytics
  • Author : J. K. Mandal,Paramartha Dutta,Somnath Mukhopadhyay
  • Publisher : Springer
  • Release : 22 September 2017
GET THIS BOOK Computational Intelligence Communications and Business Analytics

The two volume set CCIS 775 and 776 constitutes the refereed proceedings of the First International Conference on Computational Intelligence, Communications, and Business Analytics, CICBA 2017, held in Kolkata, India, in March 2017. The 90 revised full papers presented in the two volumes were carefully reviewed and selected from 276 submissions. The papers are organized in topical sections on data science and advanced data analytics; signal processing and communications; microelectronics, sensors, intelligent networks; computational forensics (privacy and security); computational intelligence in bio-computing; computational intelligence in mobile

Evolutionary Machine Learning Techniques

Evolutionary Machine Learning Techniques
  • Author : Seyedali Mirjalili,Hossam Faris,Ibrahim Aljarah
  • Publisher : Springer Nature
  • Release : 11 November 2019
GET THIS BOOK Evolutionary Machine Learning Techniques

This book provides an in-depth analysis of the current evolutionary machine learning techniques. Discussing the most highly regarded methods for classification, clustering, regression, and prediction, it includes techniques such as support vector machines, extreme learning machines, evolutionary feature selection, artificial neural networks including feed-forward neural networks, multi-layer perceptron, probabilistic neural networks, self-optimizing neural networks, radial basis function networks, recurrent neural networks, spiking neural networks, neuro-fuzzy networks, modular neural networks, physical neural networks, and deep neural networks. The book provides essential

Machine Learning Concepts Methodologies Tools and Applications

Machine Learning  Concepts  Methodologies  Tools and Applications
  • Author : Management Association, Information Resources
  • Publisher : IGI Global
  • Release : 31 July 2011
GET THIS BOOK Machine Learning Concepts Methodologies Tools and Applications

"This reference offers a wide-ranging selection of key research in a complex field of study,discussing topics ranging from using machine learning to improve the effectiveness of agents and multi-agent systems to developing machine learning software for high frequency trading in financial markets"--Provided by publishe

Practical Machine Learning in R

Practical Machine Learning in R
  • Author : Fred Nwanganga,Mike Chapple
  • Publisher : John Wiley & Sons
  • Release : 10 June 2020
GET THIS BOOK Practical Machine Learning in R

Guides professionals and students through the rapidly growing field of machine learning with hands-on examples in the popular R programming language Machine learning—a branch of Artificial Intelligence (AI) which enables computers to improve their results and learn new approaches without explicit instructions—allows organizations to reveal patterns in their data and incorporate predictive analytics into their decision-making process. Practical Machine Learning in R provides a hands-on approach to solving business problems with intelligent, self-learning computer algorithms. Bestselling author and

Oracle Business Intelligence with Machine Learning

Oracle Business Intelligence with Machine Learning
  • Author : Rosendo Abellera,Lakshman Bulusu
  • Publisher : Apress
  • Release : 18 December 2017
GET THIS BOOK Oracle Business Intelligence with Machine Learning

Use machine learning and Oracle Business Intelligence Enterprise Edition (OBIEE) as a comprehensive BI solution. This book follows a when-to, why-to, and how-to approach to explain the key steps involved in utilizing the artificial intelligence components now available for a successful OBIEE implementation. Oracle Business Intelligence with Machine Learning covers various technologies including using Oracle OBIEE, R Enterprise, Spatial Maps, and machine learning for advanced visualization and analytics. The machine learning material focuses on learning representations of input data suitable

R Unleash Machine Learning Techniques

R  Unleash Machine Learning Techniques
  • Author : Raghav Bali,Dipanjan Sarkar,Brett Lantz,Cory Lesmeister
  • Publisher : Packt Publishing Ltd
  • Release : 24 October 2016
GET THIS BOOK R Unleash Machine Learning Techniques

Find out how to build smarter machine learning systems with R. Follow this three module course to become a more fluent machine learning practitioner. About This Book Build your confidence with R and find out how to solve a huge range of data-related problems Get to grips with some of the most important machine learning techniques being used by data scientists and analysts across industries today Don't just learn – apply your knowledge by following featured practical projects covering everything from

Artificial Intelligence for Business

Artificial Intelligence for Business
  • Author : Rajendra Akerkar
  • Publisher : Springer
  • Release : 11 August 2018
GET THIS BOOK Artificial Intelligence for Business

This book offers a practical guide to artificial intelligence (AI) techniques that are used in business. The book does not focus on AI models and algorithms, but instead provides an overview of the most popular and frequently used models in business. This allows the book to easily explain AI paradigms and concepts for business students and executives. Artificial Intelligence for Business is divided into six chapters. Chapter 1 begins with a brief introduction to AI and describes its relationship with machine

Artificial Intelligence and Deep Learning for Decision Makers

Artificial Intelligence and Deep Learning for Decision Makers
  • Author : Dr. Jagreet Kaur,Navdeep Singh Gill
  • Publisher : BPB Publications
  • Release : 28 December 2019
GET THIS BOOK Artificial Intelligence and Deep Learning for Decision Makers

Learn modern-day technologies from modern-day technical giants DESCRIPTION The aim of this book is to help the readers understand the concept of artificial intelligence and deep learning methods and implement them into their businesses and organizations. The first two chapters describe the introduction of the artificial intelligence and deep learning methods. In the first chapter, the concept of human thinking process, starting from the biochemical responses within the structure of neurons to the problem-solving steps through computational thinking skills are

Advanced Deep Learning with R

Advanced Deep Learning with R
  • Author : Bharatendra Rai
  • Publisher : Packt Publishing Ltd
  • Release : 17 December 2019
GET THIS BOOK Advanced Deep Learning with R

Discover best practices for choosing, building, training, and improving deep learning models using Keras-R, and TensorFlow-R libraries Key Features Implement deep learning algorithms to build AI models with the help of tips and tricks Understand how deep learning models operate using expert techniques Apply reinforcement learning, computer vision, GANs, and NLP using a range of datasets Book Description Deep learning is a branch of machine learning based on a set of algorithms that attempt to model high-level abstractions in data.