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JohnnyFoulds / fish.txt
Created June 11, 2022 20:46
Install Fish on MacOS
ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
echo 'eval "$(/opt/homebrew/bin/brew shellenv)"' >> /Users/foulds/.zprofile
eval "$(/opt/homebrew/bin/brew shellenv)"
brew tap homebrew/cask-fonts
brew install --cask font-fira-code
curl https://raw.githubusercontent.com/oh-my-fish/oh-my-fish/master/bin/install | fish
omf install bobthefish
set -g theme_nerd_fonts yes
{
"global": {
"check_for_updates_on_startup": true,
"show_in_menu_bar": true,
"show_profile_name_in_menu_bar": false
},
"profiles": [
{
"complex_modifications": {
"parameters": {
@JohnnyFoulds
JohnnyFoulds / code_umentary.md
Last active April 19, 2023 10:36
Created by Code-umentary

Research Idea

I need to write a PhD level paper that will take roughly 2 months to complete. It must cover Data Science and AI in the telecommunications industry. I do not want it to be related to the network element or to base stations, but rather more towards the business side and customer service.

Research Idea:

Title: Data Science and AI for Customer Service in the Telecommunications Industry

Research Idea

I need to write a PhD level paper that will take roughly 2 months to complete. You will act as a world renowned researcher and supervisor guide me to complete this research. Please critically evaluate the following idea.

Title: Data Science and AI for Customer Service in the Telecommunications Industry: A Survey-Based Study with Data Visualisation-Led Investigation

Abstract:

The telecommunications industry is a highly competitive and customer-centric sector. In this digital age, customers expect seamless experiences, personalised communications, and quick resolution of their queries. This creates immense pressure on telecommunication companies to provide efficient customer service. Data Science and Artificial Intelligence (AI) can play a key role in enhancing customer service by providing valuable insights, automating manual processes, and creating personalised customer experiences. This paper presents a survey-based study that explores the applications o

@JohnnyFoulds
JohnnyFoulds / code_umentary.md
Last active April 19, 2023 11:01
Created by Code-umentary

Hello World

Hello, how can I assist you today?

Test

@JohnnyFoulds
JohnnyFoulds / code_umentary.md
Last active April 19, 2023 14:08
Created by Code-umentary

02. Frequently Asked Questions

02.01 Docker Desktop

If you are unable to install Docker Desktop on your computer as described in section 01-02, there are other options available for local development.

  • One option is to create a virtual environment using python -m venv.
@JohnnyFoulds
JohnnyFoulds / code_umentary.md
Last active April 20, 2023 04:16
Created by Code-umentary

Research Idea

Title: Data Science and AI for Customer Service in the Telecommunications Industry: A Survey-Based Study with Data Visualisation-Led Investigation

Abstract:

The telecommunications industry is a highly competitive and customer-centric sector. In this digital age, customers expect seamless experiences, personalised communications, and quick resolution of their queries. This creates immense pressure on telecommunication companies to provide efficient customer service. Data Science and Artificial Intelligence (AI) can play a key role in enhancing customer service by providing valuable insights, automating manual processes, and creating personalised customer experiences. This paper presents a survey-based study that explores the applications of Data Science and AI in the telecommunications industry with the focus on improving customer service. The study includes a data visualisation-led investigation of the survey data and secondary data found online.

Objectives

@JohnnyFoulds
JohnnyFoulds / code_umentary.md
Last active July 10, 2023 05:14
Created by Code-umentary

Augmenting Large Language Models with External Knowledge: A Systematic Literature Review

System Message

You are a PhD researcher in Data Science and artificial intelligence specialising in Natural Language Processing.

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