Since the rise of radio and television, we have lived in an era defined increasingly by the electronic circulation of images and sounds. But the flood of new computing technologies known as haptic interfaces—which use electricity, vibration, and force feedback to stimulate the sense of touch—offering an alternative way of mediating and experiencing reality. In Archaeologies of ...(展开全部)

Since the rise of radio and television, we have lived in an era defined increasingly by the electronic circulation of images and sounds. But the flood of new computing technologies known as haptic interfaces—which use electricity, vibration, and force feedback to stimulate the sense of touch—offering an alternative way of mediating and experiencing reality. In Archaeologies of ...(展开全部)

Touch is the first sense to develop in the womb, yet often it is overlooked. The Senses of Touch examines the role of touching and feeling as part of the fabric of everyday, embodied experience. How can we think about touch? Problems of touch and tactility run as a continuous thread in philosophy, psychology, medical writing and representations in art, from Ancient Greece to th...(展开全部)

Design Technics argues that the technical dimension of design has often been flattened into the broader celebratory rhetoric of innovation. Here leading scholars in architectural and design history construct histories—some panoramic and others unfolding around a specific episode—of seven techniques regularly used by the designer in the architectural studio today: rendering, mod...(展开全部)

This book is for Python developers who have developed Python programs for data processing and now want to learn how to write fast, efficient programs that perform CPU-intensive data processing tasks.

Computational statistics and statistical computing are two areas that employ computational, graphical, and numerical approaches to solve statistical problems, making the versatile R language an ideal computing environment for these fields. One of the first books on these topics to feature R, Statistical Computing with R covers the traditional core material of computational stat...(展开全部)

Data mining, or parsing the data to extract useful insights, is a niche skill that can transform your career as a data scientist Python is a flexible programming language that is equipped with a strong suite of libraries and toolkits, and gives you the perfect platform to sift through your data and mine the insights you seek. This Learning Path is designed to familiarize you with the Python libraries and the underlying statistics that you need to get comfortable with data mining.You will learn how to use Pandas, Python's popular library to analyze different kinds of data, and leverage the power of Matplotlib to generate appealing and impressive visualizations for the insights you have derived. You will also explore different machine learning techniques and statistics that enable you to build powerful predictive models.By the end of this Learning Path, you will have the perfect foundation to take your data mining skills to the next level and set yourself on the path to become a sought-after data science professional.This Learning Path includes content from the following Packt products:Statistics for Machine Learning by Pratap Dangeti.Matplotlib 2.x By Example by Allen Yu, Claire Chung, Aldrin Yim.Pandas Cookbook by Theodore Petrou.

This is a lively introductory textbook in numerical methods, MATLAB, and technical computing, with an emphasis on the informed use of mathematical software. Readers will learn how to use the mathematical functions in MATLAB correctly, appreciate their limitations, and modify them appropriately. Computer graphics are made extensive use of.

This is a lively textbook for an introductory course in numerical methods, MATLAB and technical computing, which emphasises the informed use of mathematical software. Numerical Computing with MATLAB helps readers learn about the mathematical functions in MATLAB, how to appreciate their limitations, and how to use and modify them appropriately. The book makes extensive use of co...(展开全部)

Heterogeneous Computing with OpenCL teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs) such as AMD Fusion technology. Designed to work on multiple platforms and with wide industry support, OpenCL will help you more effectively program for...(展开全部)