In the 21st century, decision-making processes are increasingly being transferred from humans to machines. Algorithms and prediction capture and shape our choices about how we live and interact with others before we can register their mechanisms o...Loe edasi...
Machine Intelligence with Generative AI is one of the most trending topics with applications in almost all fields of life. In healthcare, it is not only accelerating the development of new products, but also automating the generation of new and synt...Loe edasi...
This book offers a comprehensive discussion of the Bayesian inference framework and demonstrates why this probabilistic approach is ideal for tackling the various modelling pro...Loe edasi...
Shortlisted for the Women’s Prize for Non-FictionNamed a best book of the year by Esquire, The Spectator and Publishers WeeklyA riveting story of what it means to be hum...Loe edasi...
The text presents various design and modelling solutions for effective decision-making that are grounded on the basics of data analytics. It further discusses important topics such as sustainable design and data-driven design synthesis, product an...Loe edasi...
Volumes have been written on the need for high-quality data to support organizational decision-making. Most of those books appear to focus on the development and sustainment of data from the standpoint of those directly responsible for the managem...Loe edasi...
Ferdin Joe John Joseph, Karthikeyan Chinnusamy, Joseph Jeganathan, Ahmed J. Obaid, S. Suman Rajest
(Ilmumisaeg: 28-May-2025, Paperback / softback, Kirjastus: Medical Information Science Reference, ISBN-13: 9798369394212)
This book explores the transformative potential of big data and AI in healthcare, focusing on informed decision-making. It delves into the integration of vast, diverse datasets such as EHRs, medical imaging, and genomic data, analyzed through AI alg...Loe edasi...
Governments around the world use machine learning in automated decision-making systems for a broad range of functions. This book seeks to answer the question: what standards should be applied to machine learning to mitigate disparate impact in aut...Loe edasi...
The book discusses the designing of new AI algorithms used to convert general applications to AI-based applications. It highlights different Machine Learning and Deep Learning models for various applications used in healthcare and wellness, agricultu...Loe edasi...
In a world where artificial intelligence is reshaping industries, how can we ensure that AI enhances human skills rather than replacing them? This book offers readers an accessible and insightful guide to the positive potential of AI for human aug...Loe edasi...
In a world where artificial intelligence is reshaping industries, how can we ensure that AI enhances human skills rather than replacing them? This book offers readers an accessible and insightful guide to the positive potential of AI for human aug...Loe edasi...
(Ilmumisaeg: 03-Apr-2025, Hardback, Kirjastus: Cambridge University Press, ISBN-13: 9781316516133)
This updated edition provides a framework for assessing the reliability and uncertainty of modeling and simulation results used in industry and government. With extra worked examples and homework problems for graduate students, and new material on to...Loe edasi...
Artificial intelligence (AI) is rapidly gaining significance in the business world. With more and more organizations adopt AI technologies, there is a growing demand for business leaders, managers, and practitioners who can harness AI’s potential...Loe edasi...
(Ilmumisaeg: 31-Mar-2025, Hardback, Kirjastus: De Gruyter, ISBN-13: 9783111486406)
This book examines how participants in governance and public affairs use data and information in defining public problems and their solutions. It is based on 18 in depth interviews with various kinds of participants in the public realm in Canada a...Loe edasi...
