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---
title: Terms Index
shorttitle: Terms
layout: default
noline: 1
---
<hr/>
{% comment %}
=======================
The following part extracts all the tags from your posts and sort tags, so that you do not need to manually collect your tags to a place.
from https://codinfox.github.io/dev/2015/03/06/use-tags-and-categories-in-your-jekyll-based-github-pages/
=======================
{% endcomment %}
{% assign rawkw = "" %}
{% for page in site.pages %}
{% assign ttags = page.keywords | join:'|' | append:'|' %}
{% assign rawkw = rawkw | append:ttags %}
{% endfor %}
{% assign rawkw = rawkw | split:'|' | sort %}
{% comment %}
=======================
The following part removes dulpicated tags and invalid tags like blank tag.
=======================
{% endcomment %}
{% assign tags = "" %}
{% for tag in rawkw %}
{% if tag != "" %}
{% if tags == "" %}
{% assign tags = tag | split:'|' %}
{% endif %}
{% unless tags contains tag %}
{% assign tags = tags | join:'|' | append:'|' | append:tag | split:'|' %}
{% endunless %}
{% endif %}
{% endfor %}
{% comment %}
=======================
The purpose of this snippet is to list all your posts posted with a certain tag.
=======================
{% endcomment %}
{% for tag in tags %}
<h3 id="{{ tag | slugify }}">{{ tag }}</h3>
<ul>
{% for page in site.pages %}
{% if page.keywords contains tag %}
<li>{{ page.title }}
<a href="{{site.baseurl}}{{ page.url }}">
[LINK]
</a>
</li>
{% endif %}
{% endfor %}
</ul>
{% endfor %}
<!--
### Bayesian Regression
### Bayesian Statistics
### Bernoulli Distribution
### Binomial Distribution
### Bootstrap
### Box's Loop
### Central Limit Theorem (CLT)
### Conditional Distribution
### Continuous Random Variable
### Cumulative Distribution Function (CDF)
### Differentiation
### Discrete Random Variable
### Distribution
### Dynamical Systems
### Empirical Distribution
### Expectation
### Exponential Distribution
### Frequentist Statistics
### Fundamental Rules of Probability
### Gaussian Processes
### Gaussian/Normal Distribution
### Generalized Linear Models (GLMs)
### Generative Adversarial Net (GAN)
### Generative Models
### Hidden Markov Chain (HMC)
### Hierarchical Model
### Independence
### Independent Identically Distributed (IID)
### Integration
### Intersection
### Latent Variable
### Law of Large Numbers
### Law of the Unconscious Statistician (LOTUS)
### Likelihood
### Linear Regression
### Logistic Regression
### Marginal Distribution
### Maximum Likelihood Estimation (MLE)
### Monte Carlo
### Monte Carlo Markov Chains (MCMC)
### Neural Network (NN)
### Non-Parametric
### Optimization (Stochastic)
### Parametric
### Poison Distribution
### Population
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### Probability
### Probability Density/Mass Function (PDF/PMF)
### Random Variable
### Regularization
### Resampling
### Sample
### Sampling
### Sampling Distribution
### Simulated Annealing
### Stochastic Gradient Descent (SGD)
### Stochastic Processes
### Symmetry
### Uniform Distribution
### Union
-->