Machine Learning for Business Analytics (eBook, ePUB)

Real-Time Data Analysis for Decision-Making
Redaktion: K, Hemachandran; Jaramillo, Juan; Rodriguez, Raul V.; Khanra, Sayantan

• Format: ePub

Produktbeschreibung

Machine Learning is an integral tool in a business analyst's arsenal because the rate at which data is being generated from different sources is increasing and working on complex unstructured data is becoming inevitable.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 190
• Erscheinungstermin: 21. Juli 2022
• Englisch
• ISBN-13: 9781000615449
• Artikelnr.: 64070360

Autorenporträt

Dr. Hemachadran K completed B.Tech in Electronics and Communication engineering from Dr.MGR Educational & Research Institute University, India in 2007 as well as M.Tech in VLSI & Embedded Systems and Ph.D. in Interdisciplinary of ECE / EEE in 2011 and 2017, respectively. Most of his publications are Scopus / SCI indexed. He has guided more than 50 M.Tech &B.Tech projects. He served in the Advisory board to many National and International Conferences and is serving as an Editor and reviewer to many reputed journals. Dr. Sayantan Khanra pursued Ph.D. in Strategic Management from the Indian Institute of Management Rohtak. He is a visiting research scholar at the National Taiwan University of Science and Technology and the Turku School of Economics, Finland. His research interests relate to the strategic analysis of various components of a digital economy. Some of his research is presented at prestigious conferences organized by the Academy of Management, Academy of International Business, Pan-IIM Committee, and UNESCO, among others. His research papers are published in quality international journals, such as Enterprise Information Systems, Journal of Hospitality and Tourism Management, and Tourism Management Perspectives Dr. Raul V. Rodriguez holds an MBA, MHRM, and MSc in Big Data and BI from Universidad Isabel I, Spain and has completed his Ph.D. in Artificial Intelligence and Robotic Process Applications to HR from San Miguel University, Mexico. His specific areas of expertise and interest are Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Robotic Process Automation, Multi-agent Systems, Knowledge Engineering, and Quantum Artificial Intelligence. He is adept in the latest programming languages & software such as Prolog, Java, JavaScript, C++, Python, R/RStudio, Julia, Swift, Scala, MySQL, Tableau, Spark, among others. A registered expert in Artificial intelligence, Intelligent Systems, and Multi-agent Systems at the European Commission, Dr. Raul has been nominated for the Forbes 30 Under 30 Europe 2020 list, and awardee at the 40 Under 40 Europe India Leaders. Alongside this, he is a regular keynote speaker and panel moderator at various national and international conferences or summits. Additionally, he is a member of the Harvard Business Review Advisory Council, the Oxford Artificial Intelligence Society, part of the University of Oxford, and the Institute for Robotics Process Automation & Artificial Intelligence. Dr. Juan R. Jaramillo is an associate professor and the director of the Master of Science in Business Analytics in the Robert Willumstad School of Business at Adelphi University. He holds a Ph.D. in Industrial Engineering from West Virginia University. His published research spans the fields of Analytics, Logistics, Operations Management, and Health Care Analytics. Juan has been an invited editor of the INFORMS Journal on Applied Analytics and the Journal of Modelling in Management. Juan has been the chair and co-chair of the INFORMS Innovative Applications in Analytics Award besides being a judge of the award since its inception. He is the inaugural recipient of the prestigious Michael F. Gorman award for his contribution to the Analytics Society of INFORMS.

Inhaltsangabe

1. Introduction to Machine Learning for Data Analytics 2. Role of Machine
Learning in Promoting Sustainability 3. Addressing the Utilization of
Popular Regression Models in business applications 4. CHATBOTS: The Uses
and Impact In The Hospitality Sector 5. Traversing Through the Use of
Robotics in Medical Industry: Outlining Emerging Trends and Perspectives
for Future Growth 6. Integration of AI in Insurance and Health Care: What
Does It Mean? 7. Artificial Intelligence in Agriculture - A Review 8.
Machine Learning and Artificial Intelligence-based Tools in Digital
Marketing: An Integrated Approach 9. Application Of Artificial Intelligence
In Market Knowledge And B2b Marketing Co-Creation 10 A Systematic
Literature Review of Artificial Intelligence's Impact on Customer
Experience 11. The Impact of Artificial Intelligence on Customer Experience
and the Purchasing Process 12. Application of Artificial Intelligence in
Banking - A Review 13. Digital Ethics: Towards a socially preferable
development of AI systems