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    Jekyll and Markdown Syntax Cheatsheet

    This is just a demo. The excerpt should stop here since here’s a more tag.


    Quantum Algorithm

    Reversible computation


    Multi-qubit systems and operations

    Two Qubit Systems and Operations


    Single qubit representation and operations

    Measurement


    Stream Computing Introduction

    Stream Computing emerges when we perform computational tasks at the edge nodes or the incoming stream is too fast and huge to store locally. In this context, we cannot temporarily store the incoming stream elements and process them in memory. Stream Computing is relevant when we have very limited space to store stream elements, or we do not even consider storing them at the first place. Inspecting the performance, accuracy and formally prove them is the main task of analyzing a stream algorithm.


    Setup Wireguard on Ubuntu 20.04

    ```bash #! /bin/bash


    Introduction to Quantum Computing Week 1

    Scope of mechanics


    Setup folder sharing between windows host and linux guest

    This note illustrates how to share folders and files between a Windows host and Linux guest through a interconnected virtual network interface. In this setting, where Windows has the Hyper-V platform and the Samba service (including cifs support) installed and Linux OS is deployed in a Hyper-V virtual environment, host OS and guest OS are connect to a same network so that they can communicate each other.
    本篇笔记记录如何利用虚拟网卡在Windows操作系统中与Hyper-V平台中的Linux虚拟机共享文件和文件夹。本文的情景为:Linux虚拟机安装在Hyper-V平台中利用虚拟网卡与主机通讯,并且需要读写Windows系统中的文件或文件夹。


    Applications

    NLP tasks and applications.


    Syntax

    How words are arranged.


    Semantics

    How words form meaning


    Deep Learning for NLP tasks

    Feedforward and recurrent models for NLP tasks.


    Part of Speech Tagging - A Sequence Structure Learning Method

    Part Of Speech (POS) tags, approach to tackle the challenge of ambiguity in text. Tag sets, taggers, Hidden Markov Model are summarized.


    Text Classification

    Text classification is one of the most commonly and widely known NLP tasks. In this note, several text classification tasks, algorithms for different tasks and their evaluation are summarized.


    Language Model - N-gram

    Words, Sentences, Paragraphs, Documents, Corpus are all sparse. they are made up of characters and have uncountable variations. Let’s simplify the question: How can we learn from the meaning of a piece of text based on a given corpus? Language Models are devised to tackle this challenge. In this notes, N-gram Model, its smoothing, application and evaluation are summarized.


    Markdown Test

    Next you can update your site name, avatar and other options using the _config.yml file in the root of your repository (shown below).


    Preprocessing - Word Sequences and Documents

    Preprocessing is the first step of almost all NLP tasks. What techniques are commonly used? Why is it important? Which preprocessing techniques should we use in a specific task? How it will affect the outcome?


    Setup Firewall Allowing Cloudflare Traffic Only

    Install Cloudflare Certificates


    Sign a commit with GPG key

    Generate a new GPG key


    Set Up a New Ubuntu Server

    Update Package Source


    Introduction

    An Introduction to Natural Language Processing, its histories, techniques and applications.