Jun Li; Yan Hua Lu; Julia Mazurek; Thuy Vi Nguyen; Nicole Russ; Maria Ryabkova; Huy Hoang Tran; Truc Quynh Tran Cornelsen Verlag GmbH (2011) Pehmeäkantinen kirja
Taylor & Francis Ltd Sivumäärä: 438 sivua Asu: Pehmeäkantinen kirja Julkaisuvuosi: 2023, 25.09.2023 (lisätietoa) Kieli: Englanti
The Equation of Knowledge: From Bayes' Rule to a Unified Philosophy of Science introduces readers to the Bayesian approach to science: teasing out the link between probability and knowledge.
The author strives to make this book accessible to a very broad audience, suitable for professionals, students, and academics, as well as the enthusiastic amateur scientist/mathematician.
This book also shows how Bayesianism sheds new light on nearly all areas of knowledge, from philosophy to mathematics, science and engineering, but also law, politics and everyday decision-making.
Bayesian thinking is an important topic for research, which has seen dramatic progress in the recent years, and has a significant role to play in the understanding and development of AI and Machine Learning, among many other things. This book seeks to act as a tool for proselytising the benefits and limits of Bayesianism to a wider public.
Features
Presents the Bayesian approach as a unifying scientific method for a wide range of topics
Suitable for a broad audience, including professionals, students, and academics
Provides a more accessible, philosophical introduction to the subject that is offered elsewhere
