Blog – Isaac Flath

Creating Custom FastHTML Tags for Markdown Rendering

FastHTML

htmx

boots

Step by step tutorial to rendering markdown in FastHTML using zero-md

Adding Subscriptions to a Quarto Blog

Quarto

How to add subscriptions to a quarto blog

Salman Naqvi, Isaac Flath

Advent of Code APL 2022

APL

Advent of Code

Working on Advent of Code 2022 in APL

Quarto Document Best Practices

Quarto

I use quarto documents every day. It is used when I am developing, I use it for my website, and I use it for client presentations.

MeanShift From Scratch

Clustering

A deep dive on meanshift clustering with the full algorithm implemented from scratch using pytorch

Python Programming Tips

Python

Programming

A list of handy tips and tricks when programming in python

K-Means From Scratch

Clustering

A deep dive on K-Means where smart initialization and the full algorithm is implemented from scratch using pytorch

Introduction To Statistical Testing

Time Series

Testing

An introduction to Statistical Testing applied to Stock Trading

Bootstrapping

APL

Data Exploration

Testing

Sampling and Bootstrapping Statistics in APL

Simple Time Series (Stock Prices)

Time Series

An introduction to basic time series for stock prediction

Matrix Multiplication

APL

Linear Algebra

Matrix multiplication deep dive in APL

Numerical Linear Algebra Part 1

APL

Linear Algebra

Numerical Linear Algebra Part 1 with translations to APL

Tabular Data Intro

APL

Tabular Modeling

Introduction to tabular data analysis in APL

Introduction to Attribution

Tabular Modeling

Last Touch, Multi Touch, and Markov Chain Attribution Introduction

Practical Chatbots

Neural Networks

Improving business processes using ML-Based chatbots

Multi-Armed Bandits

Tabular Modeling

How can a Multi Armed Bandit (probabilistic model) help choose the right action

Python Concurrency

Python

Programming

Easy python poncurrency and parallel processing for Data Science

CycleGAN Walk Through

Neural Networks

Image Generation

A walkthrough of key components to a pytorch CycleGAN implementation.

StyleGAN Components

Neural Networks

Image Generation

Showing the key components to StyleGAN and how & why they work

GAN Introduction

Neural Networks

Image Generation

Summarizing the foundational concepts relating to GANs

Plant Pathology Kaggle

Neural Networks

Creating a top 10 leaderboard submission for the Plant Pathology Image Classification Kaggle Competition

Neural Networks and XOR

Neural Networks

How does a neural network transform non-linear data to solve complex problems. Fitting a neural Network to the XOR function.

Tabular Modeling

Tabular Modeling

How to approach tabular modeling

Pseudo Labeling for Data Cleaning

Neural Networks

Data Exploration

Pseudo labeling for noise reduction and data creation in MNIST

Partial Dependence Plotting

Data Exploration

Tabular Modeling

UA guide for showing the benefits and technique to Partial Dependence Plotting

NLP Recurrent NN Foundations

Neural Networks

What is an RNN? How does NLP work?

NLP Tokenization Foundations

Neural Networks

What is Tokenization? What is numericalization?

Mixup Deep Dive

Neural Networks

What is Mixup Data Augmentation really?

Neural Network Foundations (Part 2)

Neural Networks

MNIST multi-class classification from scratch with deep Learning

Neural Network Foundations (Part 1)

Neural Networks

MNIST 3/7 classification from scratch with deep Learning

Gradient Descent for Linear Regression - Part 2

Optimization

Gradient Descent

Unders the hood of gradient descent for model optimization

Gradient Descent for Linear Regression - Part 1B

Optimization

Gradient Descent

Unders the hood of gradient descent for model optimization

Gradient Descent for Linear Regression - Part 1

Optimization

Gradient Descent

Unders the hood of gradient descent for model optimization