yilaozhong的博客

用浅显易懂方式讲解支持向量机(Support Vector Machine)的工作原理，英文Powerpoint，共25页，无需高深数学知识就能明白。

Introduction to Computing Systems from Bits and Gates to C and Beyond.pdf 2nd Edition [English] 本书是计算机系统概论的英文原版，计算机科学的经典基础教材。全书以自底向上方法帮助学生理解计算机系统的原理，前半部分阐述了计算机底层结构，后半部分讲解了高级语言编程及编程方法学，主要内容包括数据类型及其运算、数字逻辑、冯·诺伊曼模型、汇编语言、输入和输出、TRAP程序和子程序、C语言编程等内容。 本书可用作高等院校计算机及相关专业学生的入门教材，也可作为的计算机专业人土和高级程序员的参考用书。 作者:（美）派特（Patt.Y.N.），（美）派特尔（Patel，S.J.）

Statistical Inference, Second Edition, by George Casella and Roger L. Berger Discusses both theoretical statistics and the practical applications of the theoretical developments. Includes a large number of exercises covering both theory and applications.

Requests is one of the most downloaded Python packages of all time, pulling in over 400,000 downloads each day. Join the party! If your organization uses Requests internally, consider supporting the development of 3.0. Your generosity will be greatly appreciated, and help drive the project forward into the future.

Scrapy is an open source and collaborative framework for extracting the data you need from websites. In a fast, simple, yet extensible way.

Categorical Data Analysis, Third Edition summarizes the latest methods for univariate and correlated multivariate categorical responses. Readers will find a unified generalized linear models approach that connects logistic regression and Poisson and negative binomial loglinear models for discrete data with normal regression for continuous data. ALAN AGRESTI is Distinguished Professor Emeritus in the Department of Statistics at the University of Florida. He has presented short courses on categorical data methods in thirty countries.

Elements of Statistical Learning的入门版，机器学习的经典著作