Machine learning for business analytics
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Machine Learning for Business Analytics
Machine Learning is an integral tool in a business analystÂ’s arsenal because the rate at which data is being generated from different sources is incr
Více informacíFoundations of Programming, Statistics, and Machine Learning for Business Analytics
This book provides an introduction to the key concepts in programming, statistics and machine learning needed by business analytics students, assuming
Více informacíBusiness Analytics in Context
An essential resource for any student undertaking a business/management degree. An engaging and accessible text structured around the learning journey
Více informacíGraph-Powered Analytics and Machine Learning with TigerGraph
This practical guide shows data scientists, data engineers, architects, and business analysts how to get started with a graph database using TigerGrap
Více informacíVUCA and Other Analytics in Business Resilience
Specialists from different disciplines and continents to provide answers discuss organizational justice, sustainable HR, machine learning, and more, p
Více informacíMachine Learning for Managers Taylor & Francis Ltd
Machine learning tools can help managers gain invaluable insights from business data, simplify complex tasks and improve business operations. Managers who are proficient in machine learning often navigate better in the increasingly digitalised landscape. There is however a common misconception that machine learning is difficult to pick up. This book is for managers who ha...
Více informacíMachine Learning for Managers Taylor & Francis Ltd
Machine learning tools can help managers gain invaluable insights from business data, simplify complex tasks and improve business operations. Managers who are proficient in machine learning often navigate better in the increasingly digitalised landscape. There is however a common misconception that machine learning is difficult to pick up. This book is for managers who ha...
Více informacíMachine Learning for High-Risk Applications
This book describes responsible AI, a holistic approach for improving AI/ML technology, business processes, and cultural competencies that builds on b
Více informacíConsumer Behaviour and Analytics
This volume provides a consumer behaviour textbook for the new marketing reality. In a world of Big Data, machine learning and AI, this text reviews t
Více informacíLinear Algebra With Machine Learning and Data Taylor & Francis Ltd
This book takes a deep dive into several key linear algebra subjects as they apply to data analytics and data mining. The book offers a case study approach where each case will be grounded in a real-world application. This text is meant to be used for a second course in applications of Linear Algebra to Data Analytics, with a supplemental chapter on Decision Trees and t...
Více informacíLarge-Scale Data Analytics with Python and Spark
A hands-on textbook teaching how to carry out large-scale data analytics and implement machine learning solutions for big data. Including copious rea
Více informacíAI for Finance Taylor & Francis Ltd
How could Finance benefit from AI? How can AI techniques provide an edge? Moving well beyond simply speeding up computation, this book tackles AI for Finance from a range of perspectives including business, technology, research, and students. Covering aspects like algorithms, big data, and machine learning, this book answers these and many other questions....
Více informacíAI for Finance Taylor & Francis Ltd
How could Finance benefit from AI? How can AI techniques provide an edge? Moving well beyond simply speeding up computation, this book tackles AI for Finance from a range of perspectives including business, technology, research, and students. Covering aspects like algorithms, big data, and machine learning, this book answers these and many other questions....
Více informacíComputational Intelligence for Cybersecurity Management and Applications Taylor & Francis Ltd
As cyberattacks continue to grow in complexity and number, computational intelligence is helping under-resourced security analysts stay one step ahead of threats. The book offers comprehensive coverage of the essential topics, including machine Learning and Deep Learning for cybersecurity, blockchain for cybersecurity and privacy, security engineering for Cyber-physical s...
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