Lecture notes in Generalized linear models: Rodriguez

Link: https://grodri.github.io/glms/notes/

docker startup command

VOLS="-v /etc/passwd:/etc/passwd:ro -v /etc/group:/etc/group:ro " # add any other mounts you want

echo Exported paths $VOLS

docker run -it --user $(id -u):$(id -g) --rm --gpus all --ipc=host --net=host $VOLS projectmonai/monai:latest bash

Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges

Interesting title and abstract. It is a long read of 80 pages.

https://arxiv.org/abs/2103.11251

Bland Altman Analysis

A nice paper on Bland Altman analysis.

Understanding Bland-Altman Analysis, Davide Gavarina, Biochemia Medica, 2015

Label Smoothing Analysis link

Label smoothing introduced by the Inception authors.

A decent analysis seems to be in this work:

https://proceedings.neurips.cc/paper/2019/file/f1748d6b0fd9d439f71450117eba2725-Paper.pdf

Sample Size estimation paper

Very nice reference for SSD.

https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/1472-6947-12-8

Step-By-Step Framework for Imbalanced Classification Projects

https://machinelearningmastery.com/framework-for-imbalanced-classification-projects/ 

A link.

A Small collection on the ROC curve analysis

Here is a list of links i have found useful regarding the ROC curve.

This is a very readable link on ROC curve and selection of operating point.

Just today, i saw that Tom Fawcett had died in 2020 of a freak bicycle accident. A tribute article from his collaborator.

The classical article by Tom Fawcett here and here. For the latter article, one has to pay for it. But a search on any search engine may lead to other sources of information.

Redhat article onci/cd

https://www.redhat.com/en/topics/devops/what-is-ci-cd

Nice summarisation.

Links on git branching

Feature Branch workflow:

https://nvie.com/posts/a-successful-git-branching-model/

from this link which discusses different git WF

https://medium.com/flexisaf/git-workflow-for-your-project-3d9dbdc5f8e2