第五课 控制语句和方程 For,while,if statements and functions (1)For loop v=zeros(10,1) %initial vectors for i=1:10, %Assign for the vectors v(i) = 2^i; end; v (%You can also do that: indices=1:10; for i=indices, v(i)=2^i; end; v ) (2)whileloop I = 1; while I <=…
昨天总结了深度学习的资料,今天把机器学习的资料也总结一下(友情提示:有些网站需要"科学上网"^_^) 推荐几本好书: 1.Pattern Recognition and Machine Learning (by Hastie, Tibshirani, and Friedman's ) 2.Elements of Statistical Learning(by Bishop's) 这两本是英文的,但是非常全,第一本需要有一定的数学基础,第可以先看第二本.如果看英文觉得吃力,推荐看一下下面…
https://www.quora.com/How-do-I-learn-machine-learning-1?redirected_qid=6578644   How Can I Learn X? Learning Machine Learning Learning About Computer Science Educational Resources Advice Artificial Intelligence How-to Question Learning New Things Lea…
Octave Tutorial 第一课 Computation&Operation 数据表示和存储 1.简单的四则运算,布尔运算,赋值运算(a && b,a || b,xor(a,b))等. 注意:(1)在Octave中,"不等于"的符号是"~=".(2)用%做注释.(3)变量后面接:抑制打印输出. 2.矩阵表示 (1)行矩阵(1行3列) [a1,a2,a3] (2)列矩阵(3行1列) [a1;a2;a3] (3)从1以步长为0.1到达2的(…
Machine Learning – Coursera Octave for Microsoft Windows GNU Octave官网 GNU Octave帮助文档 (有900页的pdf版本) Octave 4.0.0 安装 win7(文库) Octave学习笔记(文库) octave入门(文库) WIN7 64位系统安装JDK并配置环境变量(总是显示没有安装Java) MathWorks This week we're covering linear regression with mul…
https://www.coursera.org/learn/machine-learning/exam/dbM1J/octave-matlab-tutorial Octave Tutorial 5 试题 1. Suppose I first execute the following Octave commands: A = [1 2; 3 4; 5 6]; B = [1 2 3; 4 5 6]; Which of the following are then valid Octave com…
In this tutorial, we'll build a simple Universal Windows Platform application that uses a trained machine learning model to recognize a numeric digit drawn by the user. This tutorial primarily focuses on how to load and use Windows ML in your UWP app…
2019/11/2 1.    表现层状态转换(REST, representational state transfer.)一种万维网软件架构风格,目的是便于不同软件/程序在网络(例如互联网)中互相传递信息.表现层状态转换是根基于超文本传输协议(HTTP)之上而确定的一组约束和属性,是一种设计提供万维网络服务的软件构建风格.符合或兼容于这种架构风格(简称为 REST 或 RESTful)的网络服务,允许客户端发出以统一资源标识符访问和操作网络资源的请求,而与预先定义好的无状态操作集一致化.因此…
Week1 Bird recognition in the city of Peacetopia (case study)( 和平之城中的鸟类识别(案例研究)) 1.Problem Statement This example is adapted from a real production application, but with details disguised to protect confidentiality. (问题陈述:这个例子来源于实际项目,但是为了保护机密性,我们会对细节…
Logistic regression is a method for classifying data into discrete outcomes. For example, we might use logistic regression to classify an email as spam or not spam. In this module, we introduce the notion of classification, the cost function for logi…