The latest from a computer graphics pioneer, An Introduction to NURBS is the ideal resource for anyone seeking a theoretical and practical understanding of these very important curves and surfaces. Beginning with Bézier curves, the book develops a lucid explanation of NURBS curves, then does the same for surfaces, consistently stressing important shape design properties and the capabilities of each curve and surface type. Throughout, it relies heavily on illustrations and fully worked examples that will help you grasp key NURBS concepts and deftly apply them in your work. Supplementing the lucid, point-by-point instructions are illuminating accounts of the history of NURBS, written by some of its most prominent figures.

完整版，带目录，机器学习必备经典；大部头要用力啃。 Machine learning A Probabilistic Perspective

对数字电路设计初学者很有用的一本书，这个是第一版，稍微有点旧，但只是内容不变

Ebook - WIRELESS SENSOR NETWORKS A Networking Perspective

经典书籍《深入理解计算机系统》（英文名《Computer Systems - A Programmer Perspective》）。本书是英文版第三版，里面还包含一个家庭作业答案（csapp-3e-solutions）, 绝对正版，排版清晰。

Computer Systems_A Programmer’s Perspective, 3rd Edition-Pearson(2015).epub

Title: Machine Learning: An Algorithmic Perspective, 2nd Edition Author: Stephen Marsland Length: 457 pages Edition: 2 Language: English Publisher: Chapman and Hall/CRC Publication Date: 2014-10-08 ISBN-10: 1466583282 ISBN-13: 9781466583283 A Proven, Hands-On Approach for Students without a Strong Statistical Foundation Since the best-selling first edition was published, there have been several prominent developments in the field of machine learning, including the increasing work on the statistical interpretations of machine learning algorithms. Unfortunately, computer science students without a strong statistical background often find it hard to get started in this area. Remedying this deficiency, Machine Learning: An Algorithmic Perspective, Second Edition helps students understand the algorithms of machine learning. It puts them on a path toward mastering the relevant mathematics and statistics as well as the necessary programming and experimentation. New to the Second Edition Two new chapters on deep belief networks and Gaussian processes Reorganization of the chapters to make a more natural flow of content Revision of the support vector machine material, including a simple implementation for experiments New material on random forests, the perceptron convergence theorem, accuracy methods, and conjugate gradient optimization for the multi-layer perceptron Additional discussions of the Kalman and particle filters Improved code, including better use of naming conventions in Python Suitable for both an introductory one-semester course and more advanced courses, the text strongly encourages students to practice with the code. Each chapter includes detailed examples along with further reading and problems. All of the code used to create the examples is available on the author’s website. Table of Contents Chapter 1: Introduction Chapter 2: Preliminaries Chapter 3: Neurons, Neural Networks,and Linear Discriminants Chapter 4: The Multi-layer Perceptron Chapter 5: R

学习操作系统的经典书籍，入门较难，深入理解

Janyce Wiebe等人所开发的MPQA(Multiple-Perspective QA)库：包含535 篇不同视角的新闻评论，它是一个进行了深度标注的语料库。其中标注者为每个子句手工标注出一些情感信息，如观点持有者、评价对象、主观表达式以及其极性与强度。 情感分析资源大全：http://blog.csdn.net/qq280929090/article/details/70838025

《Computer Systems--A Programmer‘s Perspective》（英文pdf）。计算机系统基础知识，适合初级C++、C编程人员。