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@abridgland
abridgland / gaussian-processes-1.ipynb
Last active October 10, 2023 07:49
A Jupyter notebook to accompany Intro to Gaussian Processes - Part I at http://bridg.land/posts/gaussian-processes-1
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@kingjr
kingjr / hinge_vs_loss.py
Last active August 25, 2020 01:47
Illustrate how SVM and Logistic Regression are very similar except that SVM strictly relies on a subset of the data.
# Author: Jean-Remi King <[email protected]>
"""
Illustrate how a hinge loss and a log loss functions
typically used in SVM and Logistic Regression
respectively focus on a variable number of samples.
For simplification purposes, we won't consider the
regularization or penalty (C) factors.
"""
import numpy as np
import matplotlib.animation as animation
@calstad
calstad / TDA_resources.md
Last active September 30, 2024 21:27
List of resources for TDA

Quick List of Resources for Topological Data Analysis with Emphasis on Machine Learning

This is just a quick list of resourses on TDA that I put together for @rickasaurus after he was asking for links to papers, books, etc on Twitter and is by no means an exhaustive list.

Survey Papers

Both Carlsson's and Ghrist's survey papers offer a very good introduction to the subject

Other Papers and Web Resources