Links

General

• Don Cowan The Science of Machine Learning

• Thesis Machine Learning in High-Energy Physics (supervisors Sandin and Hoecker)

  • cool figures on Graph Networks

• Awesome Machine Learning Visualizations

  • Visual Introduction to Machine Learning (scroll-down website on DTs)

  • Symmetry Magazine 2018 ML proliferates in particle physics

• Applications and Techniques for Fast Machine Learning in Science

• Review on Machine Learning for Neutrino Experiments arXiv:2008.01242

• Schwartz, Modern Machine Learning and Particle Physics

• Steps of a ML project (Wiki Fr)

• cpoptic ML for Software Engineers github

• Geron's Notebook 4 Training Linear Models

Flow

• coloured pic in "The Data Science Process"

Coursera

• Coursera ML Dashboard

Gradient Descent

• Colorado Prof. Michael Paul Optimization and Gradient Descent: stochastic, revisiting perceptron, convex function
• Image local min/max mathsisfun

Neural Networks

Intro to NN:

• Everything you need to know about Neural Networks and Backpropagation Coursera notations

Overview

• NN Architecture & Deep Learning (YouTube)

GNN

• GNN at LHC, page 8 from Applications and Techniques for Fast Machine Learning in Science
• Novel deep learning methods for track reconstruction

GAN

"simulate gravitational lensing for dark-matter research" source

For curious minds about particle physics

• www.particlebites.com
• Symmetry Magazine
• Interactions.org

Misc

• distill.pub

My research

• What is the DUNE experiment? Dr. Don Lincoln (10 min)