---
layout: post
title: Index
permalink: /index/
---

<!-- MarkdownTOC -->

- [A](#a)
- [B](#b)
- [C](#c)
- [D](#d)
- [F](#f)
- [G](#g)
- [H](#h)
- [K](#k)
- [L](#l)
- [M](#m)
- [N](#n)
- [O](#o)
- [P](#p)
- [Q](#q)
- [R](#r)
- [S](#s)
- [T](#t)
- [U](#u)

<!-- /MarkdownTOC -->


<a name="a"></a>

## A
* [activation function](/2017/02/24/mlp/#-activation-functions)
* [Affine function](/2017/03/12/convexity/#-affine-functions)
* [\\(\alpha\\)-sublevel set](/2017/03/12/convexity/#-\\\alpha-\\-sublevel-sets)
* [arg min](/2017/01/01/kmeans/#ham-mat-mat-va-bai-toan-toi-uu)

<a name="b"></a>

## B

* [Backpropagation](/2017/02/24/mlp/#-backpropagation)
* [Bag of Words](/general/2017/02/06/featureengineering/#bag-of-words)
* [Bias trick](/2017/04/28/multiclasssmv/#-bias-trick)
* [Binary classifiers](/2017/02/11/binaryclassifiers/)
    - [one-vs-one](/2017/02/11/binaryclassifiers/#one-vs-one)
    - [Hierarchical](/2017/02/11/binaryclassifiers/#hierarchical-phan-tang)
    - [Binary coding](/2017/02/11/binaryclassifiers/#binary-coding)
    - [one-vs-rest or one-hot coding](/2017/02/11/binaryclassifiers/#one-vs-rest-hay-one-hot-coding) ([2](/2017/01/01/kmeans/#one-hot))

<a name="c"></a>

## C

* [CIFAR-10](/2017/04/28/multiclasssmv/#-bo-co-so-du-lieu-cifar)
* [Classification](/2016/12/27/categories/#classification-phan-loai)
* [Clustering](/2016/12/27/categories/#clustering-phan-nhom)    
    - [K-means Clustering](/2017/01/01/kmeans/)
* [Collaborative Filtering](/2017/05/24/collaborativefiltering/)
    - [Item-item Collaborative Filtering](/2017/05/24/collaborativefiltering/#-item-item-collaborative-filtering)
    - [Matrix Factorization Collaborative Filtering](/2017/05/31/matrixfactorization/)
    - [Neighborhood-based](/2017/05/24/collaborativefiltering/)
    - [User-user Collaborative Filtering](/2017/05/24/collaborativefiltering/#-user-user-collaborative-filtering)
* [Convex combination](/2017/03/12/convexity/#-convex-combination-va-convex-hulls)
* [Convex function](/2017/03/12/convexity/#-convex-functions)
    - [First-order condition](/2017/03/12/convexity/#-first-order-condition)
    - [Second-order condition](/2017/03/12/convexity/#-second-order-condition)
* [Convex hull](/2017/03/12/convexity/#-convex-combination-va-convex-hulls)
* [Convex optimization problems](/2017/03/19/convexopt/)
* [Covariance Matrix](/2017/06/15/pca/#-ky-vong-va-ma-tran-hiep-phuong-sai)
* [Convex sets](/2017/03/12/convexity/#-convex-sets)
* [Cross entropy](/2017/02/17/softmax/#-cross-entropy)
* [Cross validation](/2017/03/04/overfitting/#-cross-validation)

<a name="d"></a>

## D 
* [Dimensionality Reduction](/2017/06/15/pca/#-gioi-thieu) [2](/general/2017/02/06/featureengineering/#dimensionality-reduction)
<a name="f"></a>

## F

* [Feature Engineering](/general/2017/02/06/featureengineering/)
    - [Feature selection](/general/2017/02/06/featureengineering/#feature-selection)
    - [Dimensionality reduction](/general/2017/02/06/featureengineering/#dimensionality-reduction)
    - [Feature Scaling and Normalization](/general/2017/02/06/featureengineering/#feature-scaling-and-normalization)
<a name="g"></a>

## G

* [Geometric Programming](/2017/03/19/convexopt/#-geometric-programming)
* [Gradient Descent (GD)](/2017/01/12/gradientdescent/)
    - [Batch Gradient Descent](/2017/01/16/gradientdescent2/#-batch-gradient-descent)
    - [Mini-batch Gradient Descnet](/2017/01/16/gradientdescent2/#-mini-batch-gradient-descent)
    - [Momentum](/2017/01/16/gradientdescent2/#-momentum)
    - [Nesterov accelerated gradient (NAG)](https://tiepvupsu.github.io/2017/01/16/gradientdescent2/#-nesterov-accelerated-gradient-nag)
    - [Stochastic Gradient Descent (SGD)](/2017/01/16/gradientdescent2/#-stochastic-gradient-descent)
* [Ground truth](/2017/01/08/knn/#ground-truth)

<a name="h"></a>

## H 

* [Hidden layer](/2017/02/24/mlp/#-layers)
* [Hinge loss](/2017/04/13/softmarginsmv/#-hinge-loss)

<a name="k"></a>

## K 

* [K-means Clustering](/2017/01/01/kmeans/)
* [K-nearest neighbors](/2017/01/08/knn/)
* [Kernel functions](/2017/04/22/kernelsmv/#-ham-so-kernel)
<a name="l"></a>

## L

* [Large-sclae problem](/2017/01/12/gradientdescent/#large-scale)
* [Level sets](/2017/01/12/gradientdescent/#duong-dong-muc-level-sets)
* [Linear Programming](/2017/03/19/convexopt/#-linear-programming)
* [Linearly separable](/2017/01/21/perceptron/#bai-toan-perceptron)
* [Locally optimal points](/2017/03/19/convexopt/#-optimal-and-locally-optimal-points)
* [Logistic Regression](/2017/01/27/logisticregression/)
* [Loss function (Hàm mất mát)](/2016/12/28/linearregression/#ham-mat-mat) ([2](/2017/01/01/kmeans/#ham-mat-mat-va-bai-toan-toi-uu))
* [Low-rank approximation](/2017/06/07/svd/#-best-rank-\\k\\-approximation)

<a name="m"></a>

## M 
* [Matrix Factorization](/2017/05/31/matrixfactorization/)
* [MovieLens 100k](/2017/05/17/contentbasedrecommendersys/#-bai-toan-voi-co-so-du-lieu-movielens-k)
* [Multi-layer Perceptron](/2017/02/24/mlp/)

<a name="n"></a>

## N 

* [Neural Networks](/2017/01/21/perceptron/#-mo-hinh-neural-network-dau-tien)
* [Newton's Method](/2017/01/16/gradientdescent2/#-mot-phuong-phap-toi-uu-don-gian-khac-newtons-method)
* [Norms (chuẩn)](https://tiepvupsu.github.io/math/#-norms-chuan)
* [Norm balls](/2017/03/12/convexity/#-norm-balls)

<a name="o"></a>

## O

* [Objective function](/2017/03/12/convexity/#-gioi-thieu)
* [Online Learning](/2017/01/16/gradientdescent2/#online-learning)
* [Orthogonal basis and matrices](/2017/06/07/svd/#-he-truc-giao-va-truc-chuan)
<a name="p"></a>

## P

* [Perceptron Learning Algorithm](/2017/01/21/perceptron/)
* [Pocket Algorithm](/2017/01/21/perceptron/#pocket-algorithm)
* [Positive Semidefinite Matrices](/2017/03/12/convexity/#positive-semidefinite)
* [Principal Component Analysis](/2017/06/15/pca/)

<a name="q"></a>

## Q

* [Quadratic form](/2017/03/12/convexity/#-quadratic-forms)
* [Quadratic programming](/2017/03/19/convexopt/#-quadratic-programming)

<a name="r"></a>

## R
* [Recommendation Systems](/2017/05/17/contentbasedrecommendersys/)
* [Regression](/2016/12/27/categories/#regression-hoi-quy)
    - [Linear Regression](/2016/12/28/linearregression/)
* [Reinforement Learning (Học Củng Cố)](/2016/12/27/categories/#reinforcement-learning-hoc-cung-co)
* [Rectified Linear Unit (ReLU)](/2017/02/24/mlp/#-relu)
* [Regularization](/2017/03/04/overfitting/#-regularization)

<a name="s"></a>

## S 

* [Semi-supervised Learning (Học Bán Giám Sát)](/2016/12/27/categories/#semi-supervised-learning-hoc-ban-giam-sat)
* [Sigmoid function](/2017/01/27/logisticregression/#sigmoid-function)
* [Similarity function](/2017/05/24/collaborativefiltering/#-similarity-functions)
* [Singular Value Decomposition - SVD](/2017/06/07/svd/#-he-truc-giao-va-truc-chuan)
    - [Compact SVD](/2017/06/07/svd/#-compact-svd)
    - [Truncated SVD](/2017/06/07/svd/#-truncated-svd)
* [Softmax Regression](/2017/02/17/softmax/)
    - [Softmax function](/2017/02/17/softmax/#-softmax-function)
* [Supervised Learning (Học Có Giám Sát)](/2016/12/27/categories/#supervised-learning-hoc-co-giam-sat)
* [Support vector machine](/2017/04/09/smv/)
    - [Hard Margin](/2017/04/13/softmarginsmv/#hard-margin)
    - [Hinge loss](/2017/04/13/softmarginsmv/#-hinge-loss)
    - [Kernel SVM](/2017/04/22/kernelsmv/)
    - [Multi-class SVM](/2017/04/28/multiclasssmv/)
    - [Soft Margin](/2017/04/13/softmarginsmv/)

<a name="t"></a>

## T    

* [Training data (dữ liệu huấn luyện) ](/2016/12/27/categories/#supervised-learning-hoc-co-giam-sat)

<a name="u"></a>

## U
* [Utility Matrix](/2017/05/17/contentbasedrecommendersys/#-utility-matrix)
* [Unsupervised Learning (Học Không Giám Sát)](/2016/12/27/categories/#unsupervised-learning-hoc-khong-giam-sat)