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Lemon's blog

Emsp; 有目标函数: $ y(t) = 0.2 0.3y(t-7) e , , , , e sim N(0,1),t为正整数$. Emsp; 有初始化序列 $ [y(1),y(2), cdots,y(7)]=[10,20,30,40,50,60,70]$. Emsp; 根据目标函数生成了100个数据 $ y(8),y(9), cdots,y(107)$. Google 2015 校园招聘 APAC 的一道机试题目. Emsp;         (s {n} = -s {n-1} 6s {n-2} , , )    ( ( ,n , ge ,2 ,) , , , ,(0) ). Emsp;         (s {0} ,= ,7 ) ,  (s {1} ,= ,4 ). Emsp; 求 ( ,s n , )的通项公式. 问 在解决实际问题时,Learning Curve 有什么用. 答 可以据此选择优化手段 增加数据,增加/减少特征 ,增加/减少λ reg. 记  2014 阿里巴巴大数据竞赛. Emsp; 最初,从一个机器学习交流群里了解到,今年阿里巴巴举办了 首届大数据竞赛.

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Emsp; 有目标函数: $ y(t) = 0.2 0.3y(t-7) e , , , , e sim N(0,1),t为正整数$. Emsp; 有初始化序列 $ [y(1),y(2), cdots,y(7)]=[10,20,30,40,50,60,70]$. Emsp; 根据目标函数生成了100个数据 $ y(8),y(9), cdots,y(107)$. Google 2015 校园招聘 APAC 的一道机试题目. Emsp;         (s {n} = -s {n-1} 6s {n-2} , , )    ( ( ,n , ge ,2 ,) , , , ,(0) ). Emsp;         (s {0} ,= ,7 ) ,  (s {1} ,= ,4 ). Emsp; 求 ( ,s n , )的通项公式. 问 在解决实际问题时,Learning Curve 有什么用. 答 可以据此选择优化手段 增加数据,增加/减少特征 ,增加/减少λ reg. 记  2014 阿里巴巴大数据竞赛. Emsp; 最初,从一个机器学习交流群里了解到,今年阿里巴巴举办了 首届大数据竞赛.
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Lemon's blog | lemoner.me Reviews

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Emsp; 有目标函数: $ y(t) = 0.2 0.3y(t-7) e , , , , e sim N(0,1),t为正整数$. Emsp; 有初始化序列 $ [y(1),y(2), cdots,y(7)]=[10,20,30,40,50,60,70]$. Emsp; 根据目标函数生成了100个数据 $ y(8),y(9), cdots,y(107)$. Google 2015 校园招聘 APAC 的一道机试题目. Emsp;         (s {n} = -s {n-1} 6s {n-2} , , )    ( ( ,n , ge ,2 ,) , , , ,(0) ). Emsp;         (s {0} ,= ,7 ) ,  (s {1} ,= ,4 ). Emsp; 求 ( ,s n , )的通项公式. 问 在解决实际问题时,Learning Curve 有什么用. 答 可以据此选择优化手段 增加数据,增加/减少特征 ,增加/减少λ reg. 记  2014 阿里巴巴大数据竞赛. Emsp; 最初,从一个机器学习交流群里了解到,今年阿里巴巴举办了 首届大数据竞赛.

INTERNAL PAGES

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标签: least-squares | Lemon's Blog

http://lemoner.me/tags/least-squares

A glass of lemonade. Random walk to a dream. 主题 - NexT.Pisces.

2

标签: 特征方程 | Lemon's Blog

http://lemoner.me/tags/特征方程

A glass of lemonade. Random walk to a dream. 主题 - NexT.Pisces.

3

标签: 线性空间 | Lemon's Blog

http://lemoner.me/tags/线性空间

A glass of lemonade. Random walk to a dream. 主题 - NexT.Pisces.

4

标签: Z变换 | Lemon's Blog

http://lemoner.me/tags/Z变换

A glass of lemonade. Random walk to a dream. 主题 - NexT.Pisces.

5

标签: 竞赛 | Lemon's Blog

http://lemoner.me/tags/竞赛

A glass of lemonade. Random walk to a dream. 主题 - NexT.Pisces.

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Error Measure | Beader's blog

http://beader.me/tags/Error-Measure

Something about Statistics, Data Mining and R. If you are reading this, it is because your browser does not support the audio element. We recommend that you get a new browser. Document.body.appendChild(e); e.play() } function x(e) { e.className = " " s " " o } function T(e) { e.className = " " s " " u[Math.floor(Math.random() * u.length)] } function N() { var e = document.getElementsByClassName(s); var t = new RegExp(" b" s " b"); for (var n = 0; n. VC Dimension,成长函数 (growth function).

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Hoeffding’s Inequality | Beader's blog

http://beader.me/tags/Hoeffding’s-Inequality

Something about Statistics, Data Mining and R. If you are reading this, it is because your browser does not support the audio element. We recommend that you get a new browser. Document.body.appendChild(e); e.play() } function x(e) { e.className = " " s " " o } function T(e) { e.className = " " s " " u[Math.floor(Math.random() * u.length)] } function N() { var e = document.getElementsByClassName(s); var t = new RegExp(" b" s " b"); for (var n = 0; n. 机器学习的基础架构 (Learning From Data).

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机器学习笔记-回顾几种线性模型 | Beader's blog

http://beader.me/2014/08/10/linear-model

Something about Statistics, Data Mining and R. If you are reading this, it is because your browser does not support the audio element. We recommend that you get a new browser. Document.body.appendChild(e); e.play() } function x(e) { e.className = " " s " " o } function T(e) { e.className = " " s " " u[Math.floor(Math.random() * u.length)] } function N() { var e = document.getElementsByClassName(s); var t = new RegExp(" b" s " b"); for (var n = 0; n. Emsp; 前面的笔记介绍了三种线性模型, PLA. Emsp; 不难看出,当$ color{blu...

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第 2 页 | Beader's blog

http://beader.me/page/2

Something about Statistics, Data Mining and R. If you are reading this, it is because your browser does not support the audio element. We recommend that you get a new browser. Document.body.appendChild(e); e.play() } function x(e) { e.className = " " s " " o } function T(e) { e.className = " " s " " u[Math.floor(Math.random() * u.length)] } function N() { var e = document.getElementsByClassName(s); var t = new RegExp(" b" s " b"); for (var n = 0; n. 机器学习笔记-VC Dimension, Part I. Emsp;  上一篇. Word Cloud in R.

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机器学习笔记-VC Dimension, Part II | Beader's blog

http://beader.me/2014/02/15/vc-dimension-two

Something about Statistics, Data Mining and R. If you are reading this, it is because your browser does not support the audio element. We recommend that you get a new browser. Document.body.appendChild(e); e.play() } function x(e) { e.className = " " s " " o } function T(e) { e.className = " " s " " u[Math.floor(Math.random() * u.length)] } function N() { var e = document.getElementsByClassName(s); var t = new RegExp(" b" s " b"); for (var n = 0; n. 机器学习笔记-VC Dimension, Part II. Emsp;  上一篇. M { mathcal{H...

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机器学习笔记-非线性转换 | Beader's blog

http://beader.me/2014/08/30/nonlinear-transformation

Something about Statistics, Data Mining and R. If you are reading this, it is because your browser does not support the audio element. We recommend that you get a new browser. Document.body.appendChild(e); e.play() } function x(e) { e.className = " " s " " o } function T(e) { e.className = " " s " " u[Math.floor(Math.random() * u.length)] } function N() { var e = document.getElementsByClassName(s); var t = new RegExp(" b" s " b"); for (var n = 0; n. H {SEP}(x)=sign(-x 1 2-x 2 2 0.6)$. Emsp; 这样一来,这个完...

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Noise | Beader's blog

http://beader.me/tags/Noise

Something about Statistics, Data Mining and R. If you are reading this, it is because your browser does not support the audio element. We recommend that you get a new browser. Document.body.appendChild(e); e.play() } function x(e) { e.className = " " s " " o } function T(e) { e.className = " " s " " u[Math.floor(Math.random() * u.length)] } function N() { var e = document.getElementsByClassName(s); var t = new RegExp(" b" s " b"); for (var n = 0; n. VC Dimension,成长函数 (growth function).

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机器学习笔记-VC Dimension, Part III | Beader's blog

http://beader.me/2014/02/22/vc-dimension-three

Something about Statistics, Data Mining and R. If you are reading this, it is because your browser does not support the audio element. We recommend that you get a new browser. Document.body.appendChild(e); e.play() } function x(e) { e.className = " " s " " o } function T(e) { e.className = " " s " " u[Math.floor(Math.random() * u.length)] } function N() { var e = document.getElementsByClassName(s); var t = new RegExp(" b" s " b"); for (var n = 0; n. 机器学习笔记-VC Dimension, Part III. Emsp;  上一篇. Emsp; 但...

beader.me beader.me

蛇年summary | Beader's blog

http://beader.me/2014/01/27/2013-summary

Something about Statistics, Data Mining and R. If you are reading this, it is because your browser does not support the audio element. We recommend that you get a new browser. Document.body.appendChild(e); e.play() } function x(e) { e.className = " " s " " o } function T(e) { e.className = " " s " " u[Math.floor(Math.random() * u.length)] } function N() { var e = document.getElementsByClassName(s); var t = new RegExp(" b" s " b"); for (var n = 0; n. Functional Programming Principles in Scala. Emsp; ...

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Machine Learning | Beader's blog

http://beader.me/tags/Machine-Learning

Something about Statistics, Data Mining and R. If you are reading this, it is because your browser does not support the audio element. We recommend that you get a new browser. Document.body.appendChild(e); e.play() } function x(e) { e.className = " " s " " o } function T(e) { e.className = " " s " " u[Math.floor(Math.random() * u.length)] } function N() { var e = document.getElementsByClassName(s); var t = new RegExp(" b" s " b"); for (var n = 0; n. Emsp;  上一篇. Emsp; 向所有坚持用$ LaTeX$手打公式而不是直接使用截图的偏执狂致敬.

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My Blog – My WordPress Blog

Scroll down to content. May 5, 2017. Welcome to WordPress. This is your first post. Edit or delete it, then start writing! Proudly powered by WordPress.

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安い航空チケット!国内 激安航空チケットの予約でお得

この JDA では、各航空会社の安い航空チケットの検索 予約ができます。

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Lemon's blog

Emsp; 有目标函数: $ y(t) = 0.2 0.3y(t-7) e , , , , e sim N(0,1),t为正整数$. Emsp; 有初始化序列 $ [y(1),y(2), cdots,y(7)]=[10,20,30,40,50,60,70]$. Emsp; 根据目标函数生成了100个数据 $ y(8),y(9), cdots,y(107)$. Google 2015 校园招聘 APAC 的一道机试题目. Emsp;         (s {n} = -s {n-1} 6s {n-2} , , )    ( ( ,n , ge ,2 ,) , , , ,(0) ). Emsp;         (s {0} ,= ,7 ) ,  (s {1} ,= ,4 ). Emsp; 求 ( ,s n , )的通项公式. 问 在解决实际问题时,Learning Curve 有什么用. 答 可以据此选择优化手段 增加数据,增加/减少特征 ,增加/减少λ reg. 记  2014 阿里巴巴大数据竞赛. Emsp; 最初,从一个机器学习交流群里了解到,今年阿里巴巴举办了 首届大数据竞赛.

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lemonerd | Der Brause-Blog

Vielanker Fassbrausen and Lemon Soda. März 3, 2014. It’s about time to write another review here. Has been far too long since my last article anyways. We got another package with stuff to review a few weeks back and now I’ve found finally time to try and write about it. This weeks sodas are from the small Vielanker brewery in Vielank, Mecklenburg in Northern-Germany. But that doesn’t give too much information. so I’ll cut right to the point and start the review. The liquid has a transparent, coppery color.

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My Lemony Blog Site

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❤ Live Out Yours Life, it's worth ❤

10084; Live Out Yours Life, it's worth ❤. Wednesday, May 18, 2011. Everyone have their own secret in heart, deeply. Errrr thinking.should i face the reality? But, i know that's not the right way. Aha, let God guide me :). Next semester, i will suffer all the long semester. Wonder i can really cope with 5 or 6 subjects? Half of the subject is about calculation. I'm too bad in calculation : (. Seriously, i lost my confidence, what cause? I don't really know. PLEASE COME BACK! Back to normal life, okay?