This approachable introduction to doing data science in R provides step-by-step advice on using data science tools and statistical methods to carry out data analysis. Introducing the fundamentals of data science and R before moving into more advanced topics like Multilevel Models and Probabilistic Modelling with Stan, it builds knowledge and skills gradually.

This book considers the interplay between the affordances of technologies, the experiences and processes of technological systems, and the process of learning and adaptation by state actors as part of governance reform in China. It offers detailed studies of specific projects and applications that are automated or quasi-automated in organising and governing social, economic, and cultural lives in the world’s largest techno-authoritarian regime. Written by scholars from six countries across ...

With the rise of multi-core architecture, parallel programming is an increasingly important topic for software engineers and computer system designers. Principles of Parallel Programming, written by well-known researchers Calvin Lin and Lawrence Snyder, focuses on the underlying principles of parallel computation, explains the various phenomena, and clarifies why these phenomena represent opportunities or barriers to successful parallel programming. This book is ideal for an upper-level unde...