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mathematics

mathematics是一个英语单词,可以用作名词,可以翻译为数学,等等。

机器学习的数学基础

机器学习的数学基础 所谓三百六十行、行行转IT,机器学习看似是一个IT类的岗位, 但是用人单位却更青睐招聘数学或者统计学专业的应聘者,甚至有些单位直接没有专业要求,只要求有数学建模经验。 这就为转行者提供了一个更有前景的选择,目前这个行业有来自各行各业的转行者。 这个行当看似门槛很高,其实谁都可以做,毕竟谁还没学过高数? 那么要入行机器学习需

js中的继承 - inheritance

js中的继承 - inheritance 首先先贴几个便利贴YDK JSVscode 快捷键Js核心 这里我的写的是MDN的例子,如何创建一个继承自另一对象的JavaScript对象? ——原型式的继承 //定义构造器Person function Person(first, last, age, gender, interests) { this.name = { first, last }; //还要做一件事,Teacher的prototype和constructor属性指向的是Person() Teacher.prototype.constructor = Person对象 Teacher.prototype.constructor = Teacher;

js 值类型和引用类型

obj1.lesson.English="90";//90 obj2属性和值随着obj1的改变而改变! 调换下顺序,改变obj2属性,不改变obj1,看下结果: var obj1={ "name":'jack', "lesson":{ "Chinese":'110', "Mathematics":"135" } } var obj2=obj1.lesson; obj2.English="90"; var b = new Number(1); // false console.log(a==c); a作为参数传递的也是引用,最后a的值为[4,2,3] 最后,一个备受争议的例子: function setName(obj){ obj.name="ted"; obj=new Object(); console.log(obj.name);

用NSJSONSerialization让JSON变服帖

解析出来就是一个 student. 2. 将Foundation对象序列化到JSON中 与上面对应的NSJSONSerialization也提供了两个将对象序列化到JSON的接口,一个是序列化到NSData中,一个是序列化到NSOutputStream中,方便对File/Socket的操作,序列化的结果是UTF-8格式编码数据。 + (nullable NSData *)dataWithJSONObject:(id)obj options:(NSJSONWritingOptions)opt error:(NSError **)error; NSLog(@" select class:"); [students addObject:xiaowang];

Computational Physics Homework 8 of Mobingbizhen

Plot ω versus θ, with one point plotted for each drive cycle, as in Figure 3.9. 2.Background Poincaré Section (i.e., Poincaré Map) In mathematics, particularly in dynamical systems, a first recurrence map or Poincaré map, named after Henri Poincaré, is the intersection of a periodic orbit in the state space of a continuous dynamical system with a certain lower-dimensional subspace, called the Poincaré section, transversal to the flow of the system.

Computational Physics Homework 7

How does the value of the Lyapunov exponent compare with that found in Figure 3.7? It is a symplectic integrator and hence it yields better results than the standard Euler method. 3.Main (As usual,In SI, angles in radians) Formulation In fact, I think there is no necessity to spend extra effort on solving the pendulum problem, because we have already studied it thoroughly from a simple pendulum to pendulum adding dissipation and a driving force.

[转需]机器学习界大牛林达华推荐的书籍

[转需]机器学习界大牛林达华推荐的书籍 http://blog.csdn.net/ksearch/article/details/17606271 Recommended Books Here is a list of books which I have read and feel it is worth recommending to friends who are interested in computer science. Machine Learning Pattern Recognition and Machine Learning Christopher M. Bishop A new treatment of classic machine learning topics, such as classification, regression