Hi đź‘‹ my name is Scott Hawley

This is a new “quarto” version of my old blog.

Mastodon verification

Post With Code

news
code
analysis
This is a post with executable code.
Nov 17, 2022

BYOL: Contrastive Representation-Learning without Contrastive Losses

Now that we understand contrastive losses and what they’re good for – let’s get rid of them!
Nov 17, 2022

Shell Volumes and Distances in High-Dimensional Spaces

Given enough dimensions, does it really matter which distance norm you use?
Nov 15, 2022

Welcome To My Blog

news
This is the first post in a Quarto blog. Welcome!
Nov 14, 2022

Data and Identity (and Theology)

Are we the record of what we’ve done?
Feb 15, 2022

Likelihood of Vector Orthogonality in High-Dimensional Spaces

Depends on whether you’re using unit vectors or not.
Jan 24, 2022

Learning Some Geometric/Clifford Algebra

Clifford algebra
Oct 15, 2021

Handy Bash Functions for ML & Data Science

Once I figure out a complicated command, I make a bash function for it
Sep 15, 2021

Typical (Neural-Network-Based) Classification vs. Zero-Shot, Part 3 - Live Demo of CL Toy

Triplet Loss
Aug 1, 2021

Typical (NN-Based) Classification vs. Zero-Shot, Part 2 - An Example Using FastAI

scottergories

With my new data-visualization Callback!
Jun 17, 2021

Typical (Neural-Network-Based) Classification vs. Zero-Shot, Part 1 - The Joy of 3D

scottergories

Visualizations in 3 (and 4) dimensions
May 4, 2021

Typical (Neural-Network-Based) Classification vs. Zero-Shot, Part 1 - The Joy of 3D

scottergories

Visualizations in 3 (and 4) dimensions
May 4, 2021

Scottergories: Making GPT-3 Generate 3 of a Kind

classification
scottergories
gpt-3

In which we test GPT-3’s ability to generate members of a category
Feb 15, 2021

Naughty by Numbers: Classifications at Christmas

A snarky interactive lesson on classification and surveillance
Dec 11, 2020

Interactivity Test

Testing Graphing Interaction in Fastpages
Nov 1, 2020

Citations in Fastpages via BibTeX and jekyll-scholar

Supporting scholarly blogging by drawing references from your database.
Jul 1, 2020

Mac => Linux Switch Notes

Mac and I aren’t breaking up, we’re just seeing other people.
Jan 13, 2020

Principal Component Analysis (PCA) from Scratch

There are many tutorials on PCA, but this one has interactive 3D graphs!
Dec 21, 2019

Getting Started in ML+Audio

For audio students interested in machine learning
Dec 6, 2019

My First NN Part 3. Multi-Layer Networks and Backpropagation

Multi-Layer Networks and Backpropagation
Feb 8, 2019

My First Neural Network, Part 2. Bias and CE Loss

Bias and cross-entropy loss
Feb 4, 2019

My First Neural Network, Part 1

First in a series on understanding neural network models.
Jan 30, 2019

Parallelizing Python, Simplified

Basic use of multiprocessing.
Dec 16, 2018

Resolving Mac OS X Aliases in Python

(or “How I Spent Monday Night”)

Mac OSX aliases are not symbolic links. Trying to read one will probably crash your code.
Feb 21, 2018

Notes on Convexity of Loss Functions for Classification

Following up on a question that arose in Week 3 of Andrew Ng’s Machine Learning course.
Nov 22, 2017

Crash Course On GANs

This post is not necessarily a crash course on GANs. It is at least a record of me giving myself a crash course on GANs. Adding to this as I go.
May 5, 2017

Learning Room Shapes (with Neural Networks)

Deep neural network learns (boxy) room shape given mode frequencies, or vice versa.
May 4, 2017

Following Gravity - ML Foundations Part I

First in a series on Machine Learning Foundations, which applies to much of science and statistics as well. .
Feb 23, 2017

Machine Learning Reference List

This has been my personal reading list, first compiled ca. February 2016 &…
Feb 6, 2017

How to Port-Forward Jupyter Notebooks

…to enable efficient remote-working.
Jupyter notebooks and their related iTorch notebooks seem to be popular for tutorials, e.g the Deep Learning with Torch tutorial I…
Feb 3, 2017
No matching items