Diagrammatic Reasoning in AI
This book is really the end product of over a decade of work, on and off, on
diagrammatic reasoning in artificial intelligence (AI). In developing this book, I
drew inspiration from a variety of sources: two experimental studies, the development
of two prototype systems, an extensive literature review and analysis in
Case Studies in Bayesian Statistical Modelling and Analysis
Provides an accessible foundation to Bayesian analysis using real world models
This book aims to present an introduction to Bayesian modelling and computation, by considering real case studies drawn from diverse fields spanning ecology, health, genetics and finance. Each chapter comprises a description of the problem, the...
Data Analysis and Graphics Using R: An Example-Based Approach
Discover what you can do with R! Introducing the R system, covering standard regression methods, then tackling more advanced topics, this book guides users through the practical, powerful tools that the R system provides. The emphasis is on hands-on analysis, graphical display, and interpretation of data. The many worked examples, from...
If you know how to program, you have the skills to turn data into knowledge using the tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.
You'll work with a case study throughout the...
Clojure Data Analysis Cookbook
Make more of your data using Clojure and this brilliant cookbook full of real-world recipes. From creating revealing graphs to using data analysis libraries, you'll learn both the basics and advanced techniques.
Get a handle on the torrent of data the modern Internet has created
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