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Neo Fung's Blog

www.neofung.org/

You may say i am a dreamer, but i am not the only one. - John Lennon

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Where is www.neofung.org hosted?

Country:
United States
City:
Matawan
Registrar:
Public Interest Registry
Latitude:
40.42
Longitude:
-74.26
IP address:
45.77.31.86
IP Binary address:
101101010011010001111101010110
IP Octal address:
5523217526
IP Hexadecimal address:
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Context analysis of neofung.org

Number of letters on this page:
2 106
Number of words on this page:
815
Number of sentences on this page:
171
Average words per sentences on this page:
5
Number of syllables on this page:
790

Domain name architecture

Domain name length:
11
Hyphens:
Domain doesn't contain hyphens!
Domain name with Hindi letters:
ञ ए ओ फ़ उ ञ ग . ओ र ग
Domain name with Hebrew letters:
נ (e) (ο) ף (u) נ ג . (ο) ר ג
Domain name with Cyrillic letters:
н e о φ у н г . о р г
Domain name with Arabic letters:
ن (e) (o) ف (u) ن غ . (o) ر غ
Domain name with Greek letters:
ν ε ο φ υ ν γ . ο ρ γ
Domain name with Chinese letters:
艾娜 伊 哦 艾弗 伊吾 艾娜 吉 . 哦 艾儿 吉
Domain without Consonants:
nfng.rg
Domain without Vowels:
eou.o
Alphabet positions:
n14 e5 o15 f6 u21 n14 g7 . o15 r18 g7
Domain name pattern:
V: Vowel, C: Consonant, N: Number
C V V C V C C . V C C

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You may say i am a dreamer, but i am not the only one. - John Lennon
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twitter:title:
Neo Fung's Blog
twitter:description:
You may say i am a dreamer, but i am not the only one. - John Lennon

External links in neofung.org

  • http://kubicode.me/2015/08/16/Machine%20Learning/Algorithm-Summary-for-Interview/
  • https://ljalphabeta.gitbooks.io/python-/content/knn.html
  • https://github.com/neofung/tensorflow-learning/blob/master/simple_ml/liner_regression.py
  • https://github.com/neofung/tensorflow-learning/blob/master/simple_ml/logistic_regression.py
  • http://wenku.baidu.com/link?url=z-fofhp6T8y39P6tmaLzUiybVEQXpYTz6Uz-MjqxNNvg0GQrjCY0hA95mkqxg1Suk-fT_z-gq2jiMUhH9OWrv2e9kOA4uZ7ZlS6CcM2O0Zq
  • http://www.cnblogs.com/leoo2sk/archive/2010/09/17/naive-bayesian-classifier.html
  • http://www.cnblogs.com/biyeymyhjob/archive/2012/07/18/2595410.html
  • http://blog.csdn.net/abcjennifer/article/details/7716281
  • http://ufldl.stanford.edu/wiki/index.php/Softmax%E5%9B%9E%E5%BD%92
  • https://github.com/neofung
  • https://hexo.io
  • https://github.com/iissnan/hexo-theme-next

Internal links in neofung.org

  • /
  • /categories
  • /archives
  • /tags
  • /2017/04/12/Linux-编译ltp4j和neoltp4j/
  • /2017/04/12/Linux-编译ltp4j和neoltp4j/#comments
  • /2017/02/17/机器学习常见算法个人总结/
  • /2017/02/17/机器学习常见算法个人总结/#comments
  • #参数模型VS变参模型
  • #朴素贝叶斯
  • #工作原理
  • #工作流程
  • #属性特征
  • #Laplace校准-拉普拉斯校验
  • #遇到特征之间不独立问题
  • #优缺点
  • #Liner-Regression-线性回归
  • #Logistic-Regression-逻辑回归
  • #梯度下降法
  • #其他优化方法
  • #关于LR的过拟合问题
  • #关于LR的多分类:softmax
  • #关于softmax和k个LR的选择
  • #示例代码
  • #感知机
  • #KNN算法
  • #三要素:
  • #k值的选择
  • #KNN的回归
  • #优缺点:
  • #KD树
  • #构造KD树
  • #KD树的搜索
  • #KD树进行KNN查找
  • #KD树搜索的复杂度
  • #SVM、SMO
  • #线性SVM问题
  • #对偶求解
  • #损失函数
  • #为什么要引入对偶算法
  • #核函数
  • #SVM优缺点
  • #SMO
  • #SVM多分类问题
  • #逻辑斯蒂回归-VS-SVM
  • #决策树
  • #ID3
  • #关于损失函数
  • #C4-5
  • #Cart
  • #停止条件
  • #关于特征与目标值
  • #决策树的分类与回归
  • #理想的决策树
  • #解决决策树的过拟合
  • #优缺点-1
  • #随机森林-RF
  • #学习过程
  • #预测过程
  • #参数问题
  • #泛化误差估计
  • #学习算法
  • #关于CART
  • #优缺点-2
  • #GBDT-GBRT
  • #Shrinkage
  • #调参
  • #优缺点:-1
  • #BP
  • #最小二乘法
  • #EM
  • #Bagging
  • #Boosting
  • #凸优化
  • #凸集
  • #凸函数
  • #凸优化应用举例
  • #过拟合
  • #正则化的两种方法
  • #统一特征取值范围
  • #选择有意义的特征
  • #PCA进行无监督降维
  • #LDA进行监督数据压缩
  • #验证评估模型性能
  • #参考
  • https://chenrudan.github.io/blog/2016/01/09/logisticregression.html#4.2
  • /2016/09/20/leetcode-395-longest-substring-least-k-repeating-characters/
  • /categories/LeetCode/
  • /2016/09/20/leetcode-395-longest-substring-least-k-repeating-characters/#comments
  • /2016/09/20/leetcode-398-random-pick-index-2/
  • /categories/LeetCode/Math/
  • /2016/09/20/leetcode-398-random-pick-index-2/#comments
  • /2016/09/20/leetcode-152-maximum-product-subarray/
  • /categories/LeetCode/Dynamic-Programming/
  • /2016/09/20/leetcode-152-maximum-product-subarray/#comments
  • /2016/09/20/leetcode-98-validate-binary-search-tree/
  • /categories/LeetCode/Binary-Tree/
  • /2016/09/20/leetcode-98-validate-binary-search-tree/#comments
  • /2016/09/20/leetcode-43-multiply-strings/
  • /categories/LeetCode/String/
  • /2016/09/20/leetcode-43-multiply-strings/#comments
  • /2016/09/20/leetcode-71-simplify-path/
  • /2016/09/20/leetcode-71-simplify-path/#comments
  • /2016/09/11/leetcode-84-largest-rectangle-histogram/
  • /2016/09/11/leetcode-84-largest-rectangle-histogram/#comments
  • /2016/08/06/leetcode-354-russian-doll-envelopes/
  • /2016/08/06/leetcode-354-russian-doll-envelopes/#comments
  • /page/2/
  • /page/31/
  • /atom.xml

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Possible Domain Typos

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