Elements Of Data Science Machine Learning And Artificial Intelligence Using R
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Elements of Data Science, Machine Learning, and Artificial Intelligence Using R
Author: Frank Emmert-Streib
language: en
Publisher: Springer Nature
Release Date: 2023-10-03
The textbook provides students with tools they need to analyze complex data using methods from data science, machine learning and artificial intelligence. The authors include both the presentation of methods along with applications using the programming language R, which is the gold standard for analyzing data. The authors cover all three main components of data science: computer science; mathematics and statistics; and domain knowledge. The book presents methods and implementations in R side-by-side, allowing the immediate practical application of the learning concepts. Furthermore, this teaches computational thinking in a natural way. The book includes exercises, case studies, Q&A and examples.
Economic and Political Consequences of AI: Managing Creative Destruction
Firms that innovate on the production function by using unorthodox paths in technology are disrupting routine actions and radically changing people's lives by innovating in a disruptive way while reinventing new ways. Schumpeterian innovations change the routine and traditional business conditions by realizing a new economic equilibrium and innovation in the production function. Today, the use of artificial intelligence (AI) and AI-related applications and the expansion of their areas of use cause a Schumpeterian process of creative destruction, causing a destructive but at the same time creative cycle such as the use of AI within existing technologies, the increase in the opportunities provided by the applications and the replacement of old and new technology. Therefore, today, the widespread use of AI is one of the most significant technological advancements of recent times, encompassing a wide range of fields and significantly changing how economies and societies operate. Economic and Political Consequences of AI: Managing Creative Destruction investigates the impact of AI on economics and politics. Although emerging AI and technologies scare societies and existing firms and companies, it is essential to research the existing uncertainty to eliminate uncertainties and reveal or discuss potential benefits and harms. Covering topics such as creative destruction, cyber-politics, and the future of employment, this book is an excellent resource for computer developers, technology companies, businesses, professionals, researchers, policy makers, scholars, academicians, and more.
Artificial Intelligence and Project Management
Author: Tadeusz A. Grzeszczyk
language: en
Publisher: Taylor & Francis
Release Date: 2024-05-01
Although some people had doubts about the usefulness of such solutions in the past, artificial intelligence (AI) plays a growing role in modern business. It can be expected that the interest in it will also lead to an increase in support for the planning, evaluation, and implementation of projects. In particular, the proper functioning of multifaceted evaluation methods has a crucial impact on the appropriate planning and execution of various projects, as well as the effective achievement of the organization’s goals. This book offers a presentation of the complex problems and challenges related to the development of AI in project management, proposes an integrated approach to knowledge-based evaluation, and indicates the possibilities of improving professional practical knowledge in this field. The unique contribution of this book is to draw attention to the possibilities resulting from conducting transdisciplinary research and drawing on the rich achievements in the field of research development on knowledge-based systems that can be used to holistically support the processes of planning, evaluation, and project management. The concept of the integrated approach to knowledge-based evaluation is presented and developed as a result of drawing inspiration mainly from the systems approach, generative AI, and selected mathematical models. Presented in a highly accessible manner, the book discusses mathematical tools in a simple way, which enables understanding of the content by readers across broad subject areas who may be not only participants in specialist training and university students but also practitioners, consultants, or evaluators. This book will be a valuable resource for academics and upper-level students, in particular, across project management-related fields, and of great interest to all those looking to understand the challenges and effectiveness of AI in business.