Artificial Intelligence In Prescriptive Analytics PDF Download
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Author | : John D. Kelleher |
Publisher | : MIT Press |
Total Pages | : 853 |
Release | : 2020-10-20 |
Genre | : Computers |
ISBN | : 0262361108 |
Download Fundamentals of Machine Learning for Predictive Data Analytics, second edition Book in PDF, ePub and Kindle
The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice. Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context. This second edition covers recent developments in machine learning, especially in a new chapter on deep learning, and two new chapters that go beyond predictive analytics to cover unsupervised learning and reinforcement learning.
Author | : Andre Milchman |
Publisher | : Createspace Independent Publishing Platform |
Total Pages | : 122 |
Release | : 2018-01-09 |
Genre | : Business intelligence |
ISBN | : 9781979929707 |
Download Prescriptive Analytics Book in PDF, ePub and Kindle
As the disciplines of advanced analytics continue to develop and evolve, new methodologies emerge that take advantage of data science and machine learning, disrupt the status quo, and transform the complex landscape of business intelligence. Prescriptive Analytics: A Short Introduction to Counterintuitive Intelligence aims to create synergy between analytics professionals and artificial intelligence algorithms. Short, structured, and practitioner-oriented, the book offers a general framework and practical recommendations on modelling, generating, and executing prescriptive analytics decision sets. Readers will come away from this book with clear understanding how prescriptive analytics is different from other areas of advanced analytics-descriptive analytics, diagnostic analytics, and predictive analytics. Learn how to Design a prescriptive analytics system; Model situations to map the real-world problems; Develop alternatives to turn possibilities into options; Generate decision sets using evolutionary algorithms to transform options to solutions; and Execute decisions to create real-world impact on the business problems. Concise, engaging and original, the book introduces you to the fascinating and transformative world of counterintuitive intelligence.
Author | : Scott Burk |
Publisher | : CRC Press |
Total Pages | : 186 |
Release | : 2020-05-25 |
Genre | : Medical |
ISBN | : 100006722X |
Download It's All Analytics! Book in PDF, ePub and Kindle
It's All Analytics! The Foundations of AI, Big Data and Data Science Landscape for Professionals in Healthcare, Business, and Government (978-0-367-35968-3, 325690) Professionals are challenged each day by a changing landscape of technology and terminology. In recent history, especially in the last 25 years, there has been an explosion of terms and methods that automate and improve decision-making and operations. One term, "analytics," is an overarching description of a compilation of methodologies. But AI (artificial intelligence), statistics, decision science, and optimization, which have been around for decades, have resurged. Also, things like business intelligence, online analytical processing (OLAP) and many, many more have been born or reborn. How is someone to make sense of all this methodology and terminology? This book, the first in a series of three, provides a look at the foundations of artificial intelligence and analytics and why readers need an unbiased understanding of the subject. The authors include the basics such as algorithms, mental concepts, models, and paradigms in addition to the benefits of machine learning. The book also includes a chapter on data and the various forms of data. The authors wrap up this book with a look at the next frontiers such as applications and designing your environment for success, which segue into the topics of the next two books in the series.
Author | : Valentine Fontama |
Publisher | : Apress |
Total Pages | : 178 |
Release | : 2014-11-25 |
Genre | : Computers |
ISBN | : 148420445X |
Download Predictive Analytics with Microsoft Azure Machine Learning Book in PDF, ePub and Kindle
Data Science and Machine Learning are in high demand, as customers are increasingly looking for ways to glean insights from all their data. More customers now realize that Business Intelligence is not enough as the volume, speed and complexity of data now defy traditional analytics tools. While Business Intelligence addresses descriptive and diagnostic analysis, Data Science unlocks new opportunities through predictive and prescriptive analysis. The purpose of this book is to provide a gentle and instructionally organized introduction to the field of data science and machine learning, with a focus on building and deploying predictive models. The book also provides a thorough overview of the Microsoft Azure Machine Learning service using task oriented descriptions and concrete end-to-end examples, sufficient to ensure the reader can immediately begin using this important new service. It describes all aspects of the service from data ingress to applying machine learning and evaluating the resulting model, to deploying the resulting model as a machine learning web service. Finally, this book attempts to have minimal dependencies, so that you can fairly easily pick and choose chapters to read. When dependencies do exist, they are listed at the start and end of the chapter. The simplicity of this new service from Microsoft will help to take Data Science and Machine Learning to a much broader audience than existing products in this space. Learn how you can quickly build and deploy sophisticated predictive models as machine learning web services with the new Azure Machine Learning service from Microsoft.
Author | : Witold Pedrycz |
Publisher | : Springer |
Total Pages | : 0 |
Release | : 2024-10-14 |
Genre | : Computers |
ISBN | : 9783031667305 |
Download Artificial Intelligence in Prescriptive Analytics Book in PDF, ePub and Kindle
Considering the advances of the different approaches and applications in the last years, and even in the last months, this is a particular moment in history to transform every data-driven decision-making process with the power of Artificial Intelligence (AI). This book reveals, through concrete case studies and original application ideas, how cutting-edge AI techniques are revolutionizing industries such as finance, health care, and manufacturing. It invites us to discover how machine learning, decision analysis, and intelligent optimization are changing, directly or indirectly, almost all aspects of our daily lives. This comprehensive book offers practical insights and real-world applications for professionals, researchers, and students alike. It helps to learn how to apply AI for smarter, data-driven decisions in areas like supply chain management, risk assessment, and even personalized medicine. Be inspired by the chapters of this book and unlock the full potential of AI in your field!
Author | : Dursun Delen |
Publisher | : FT Press |
Total Pages | : 287 |
Release | : 2019-10-21 |
Genre | : Business & Economics |
ISBN | : 013438900X |
Download Prescriptive Analytics Book in PDF, ePub and Kindle
Make Better Decisions, Leverage New Opportunities, and Automate Decisioning at Scale Prescriptive analytics is more directly linked to successful decision-making than any other form of business analytics. It can help you systematically sort through your choices to optimize decisions, respond to new opportunities and risks with precision, and continually reflect new information into your decisioning process. In Prescriptive Analytics, analytics expert Dr. Dursun Delen illuminates the field’s state-of-the-art methods, offering holistic insight for both professionals and students. Delen’s end-to-end, all-inclusive approach covers optimization, simulation, multi-criteria decision-making methods, inference- and heuristic-based decisioning, and more. Balancing theory and practice, he presents intuitive conceptual illustrations, realistic example problems, and real-world case studies–all designed to deliver knowledge you can use. Discover where prescriptive analytics fits and how it improves decision-making Identify optimal solutions for achieving an objective within real-world constraints Analyze complex systems via Monte-Carlo, discrete, and continuous simulations Apply powerful multi-criteria decision-making and mature expert systems and case-based reasoning Preview emerging techniques based on deep learning and cognitive computing
Author | : Scott Burk |
Publisher | : CRC Press |
Total Pages | : 248 |
Release | : 2023-09-15 |
Genre | : Business & Economics |
ISBN | : 1000928446 |
Download It's All Analytics, Part III Book in PDF, ePub and Kindle
Professionals are challenged each day by a changing landscape of technology and terminology. In recent history, especially the last 25 years, there has been an explosion of terms and methods born that automate and improve decision-making and operations. One term, called "analytics," is an overarching description of a compilation of methodologies. But artificial intelligence (AI), statistics, decision science, and optimization, which have been around for decades, have resurged. Also, things like business intelligence, online analytical processing (OLAP) and many, many more have been born or reborn. How is someone to make sense of all this methodology, terminology? Extending on the foundations introduced in the first book, this book illustrates how professionals in healthcare, business, and government are applying these disciplines, methods, and technologies. The goal of this book is to get leaders and practitioners to start thinking about how they may deploy techniques outside their function or industry into their domain. Application of modern technology into new areas is one of the fastest, most effective ways to improve results. By providing a rich set of examples, this book fosters creativity in the application and use of AI and analytics in innovative ways.
Author | : Mehmet Ali Yilbasi |
Publisher | : Mehmet Ali Yılbaşı |
Total Pages | : 144 |
Release | : 2023-06-11 |
Genre | : Education |
ISBN | : |
Download Data Analytics with Artificial Intelligence: Transforming Big Data into Valuable Information Book in PDF, ePub and Kindle
This ebook is a guide for anyone who wants to understand the impact of Data Analytics and Artificial Intelligence in business and explore how these technologies can be applied. Businesses should use this association correctly to extract more valuable information from large data sets, optimize their operational processes and gain competitive advantage. Throughout our book, we will try to explain the potential in Data Analytics and Artificial Intelligence with examples, practical tips and real-world applications. We will also provide resources and recommendations for our readers who want to follow developments in these areas.
Author | : P. Mary Jeyanthi |
Publisher | : Springer Nature |
Total Pages | : 236 |
Release | : 2022-01-01 |
Genre | : Technology & Engineering |
ISBN | : 3030827631 |
Download Decision Intelligence Analytics and the Implementation of Strategic Business Management Book in PDF, ePub and Kindle
This book presents a framework for developing an analytics strategy that includes a range of activities, from problem definition and data collection to data warehousing, analysis, and decision making. The authors examine best practices in team analytics strategies such as player evaluation, game strategy, and training and performance. They also explore the way in which organizations can use analytics to drive additional revenue and operate more efficiently. The authors provide keys to building and organizing a decision intelligence analytics that delivers insights into all parts of an organization. The book examines the criteria and tools for evaluating and selecting decision intelligence analytics technologies and the applicability of strategies for fostering a culture that prioritizes data-driven decision making. Each chapter is carefully segmented to enable the reader to gain knowledge in business intelligence, decision making and artificial intelligence in a strategic management context.
Author | : Kiran Chaudhary |
Publisher | : CRC Press |
Total Pages | : 261 |
Release | : 2023-12-29 |
Genre | : Computers |
ISBN | : 1003812651 |
Download AI-Based Data Analytics Book in PDF, ePub and Kindle
Apply analytics to improve customer experience, AI applied to targeted and personalized marketing Debugging and simulation tools and techniques for massive data systems