Machine Learning Examples

Simple and complex Awk scripts for learning Machine Learning basics

---

• ⬆️ Top of Document

• 🏗️ Requirements

• ⚡ Quick Start

• 🗒 Notes

• 📇 Attribution

• ⚖️ Licensing

---

Requirements

Awk, GAwk, or MAwk must be installed to make use of scripts within this repository, for Debian based Linux distributions that'd look similar to...

sudo apt-get install gawk

---

Quick Start

Clone this project...

Linux/MacOS

mkdir -vp ~/git/hub/awk-utilities

cd ~/git/hub/awk-utilities

git clone git@github.com:awk-utilities/machine-learning-examples.git

Windows

set _organization_directory="%HOMEDRIVE%%HOMEPATH%\git\hub\awk-utilities"

if not exists %_organization_directory (
  md %_organization_directory
)

CD /D %_organization_directory

git clone git@github.com:awk-utilities/machine-learning-examples.git

Linux based distributions with MAwk, GAwk, and/or Awk installed generally may run Awk scripts directly, eg...

script_name.awk --param=value input_file.ext

... however, some systems do not have the Awk executable linked to /usr/bin/awk file path, in such cases Awk scripts must be invoked via...

awk -f script_name.awk --param=value input_file.ext

Each script within the application-examples directory of this repository may be run with the --usage parameter to display available command-line options, eg...

./application-examples/p001-Basic-Neuron-3-inputs.awk --usage

---

Notes

This repository is not feature complete and may include bugs, Pull Requests are certainly welcomed to add features and/or fix Issues.

This repository currently is inspired by and closely following the YouTube Playlist -- Neural Networks from Scratch in Python by @Sentdex, while also attempting to provide more complex example code for the Awk scripting language.

---

Attribution

• GitHub -- github-utilities/make-readme

• YouTube -- Neural Networks from Scratch - P.1 Intro and Neuron Code

• YouTube -- Neural Networks from Scratch - P.2 Coding a Layer

---

License

Documentation for simple and complex Awk scripts for learning Machine Learning basics
Copyright (C) 2020 S0AndS0

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as published
by the Free Software Foundation, version 3 of the License.

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU Affero General Public License for more details.

You should have received a copy of the GNU Affero General Public License
along with this program.  If not, see <https://www.gnu.org/licenses/>.

For further details review full length version of AGPL-3.0 License.

Note, unless otherwise stated within comments of individual scripts, the scripts within the quick-examples are licensed under the MIT license because they are directly translated from examples provided by Sentdex/NNfSiX GitHub repository

And unless otherwise stated within comments of individual scripts, the scripts within the application-examples directory are licensed under the AGPL-3.0 open source license.