In this clearly reasoned defense of Bayes's Theorem — that probability can be used to reasonably justify scientific theories — Colin Howson and Peter Urbach examine the way in which scientists appeal to probability arguments, and demonstrate that the classical approach to statistical inference is full of flaws. Arguing the case for the Bayesian method with little more than basi...(展开全部)

UNDERSTANDING SCIENTIFIC REASONING develops critical reasoning skills and guides students in the improvement of their scientific and technological literacy. The authors teach students how to understand and critically evaluate the scientific information they encounter in both textbooks and the popular media. With its focus on scientific pedagogy, UNDERSTANDING SCIENTIFIC REASONI...(展开全部)

Machine learning methods extract value from vast data sets quickly and with modest resources. They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot locomotion, and their use is spreading rapidly. People who know the methods have their choice of rewarding jobs. This hands-on text opens th...(展开全部)

David Barber is Reader in Information Processing in the Department of Computer Science, University College London.

Machine learning methods extract value from vast data sets quickly and with modest resources. They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot locomotion, and their use is spreading rapidly. People who know the methods have their choice of rewarding jobs. This hands-on text opens th...(展开全部)

David Barber is Reader in Information Processing in the Department of Computer Science, University College London.

This is an introduction to Bayesian statistics and decision theory, including advanced topics such as Monte Carlo methods. This new edition contains several revised chapters and a new chapter on model choice.

This work contains Steven Shapin's historical exploration into the origins of the modern scientific worldview. What historians have traditionally called the Scientific Revolution was, in Shapin's view, a diversity of practices and ideas that developed over the course of nearly two centuries. Rejecting the idea that there is anything like an "essence" of early modern science, th...(展开全部)

In this book van Fraassen develops an alternative to scientific realism by constructing and evaluating three mutually reinforcing theories.

This work contains Steven Shapin's historical exploration into the origins of the modern scientific worldview. What historians have traditionally called the Scientific Revolution was, in Shapin's view, a diversity of practices and ideas that developed over the course of nearly two centuries. Rejecting the idea that there is anything like an "essence" of early modern science, th...(展开全部)