Introduction

Introduction
This is my personal notebook for documenting knowledge I picked up as I progress through my career in machine learning. It helps me reinforcing my theoretical understanding of the problems and solutions I have seen.
Python 2 vs Python 3
I wrote majority of the content in Python 2.7 in 2018. Now it's 2022 April, Python 2 has been long deprecated, I am switching to Python 3.8 with TensorFlow 2.8.
My current system setup
Ubuntu 20.04
Tensorflow 2.8.*
Python 3.8.*
CUDA 11.2
cuDNN 8.4
Matplotlib 3.5.*
Some older code will be running on
Tensorflow 1.15
Python 2.7.*
Table of Contents
Clustering
Simple Neural Networks
Convolutional Neural Networks
Generative Adversial Networks
Recurrent Neural Networks
Random Forest
Reinforcement Learning
Natural Language Processing
Naive Bayesian Networks
Recommender System
Transferred Learning
Machine Learning in Production
Export Notebook
Jupyter Convert
If my notebook does not contain any matplotlib.pyplot then I can export it as simple text.
jupyter nbconvert --to markdown loss_function_overview.ipynb --stdout
Otherwise, I'd need to export differently.
jupyter nbconvert --to markdown loss_function_overview.ipynb
Latex
Jupyter notebook uses single dollar sign for inline equations but GitBook uses double dollar sign for inline equations. I need a RegExp that capture and convert.
? means once or none.
\$.?\$
+ means one or more.
\$.+\$
The following will capture all $<some text>$.
^\$.+\$$

Next - Supervised Learning

Basic Overview

Last modified 9mo ago