Resources
2-Mar-2022·
·
1 min read
Allyson Stoll
I have included some of my commonly used resources below. Enjoy and happy learning!
Books (Print and Digital)
Statistics and Probability
- Probability!, Statistics! and Inference! by Matt DiSorbo
- Bayes Rules! An Introduction to Applied Bayesian Modeling by Alicia A. Johnson, Miles Q. Ott, and Mine Dogucu
Metallurgy
- Wills’ Mineral Processing Technology by Barry Wills and James Finch
- Statistics for Mineral Engineers by T.J. Napier-Munn
Python
- Think Python (2nd Edition) by Allen B. Downey
- Learn Python 3 the Hard Way by Zed A. Shaw
- Python for Data Analysis by Wes McKinney
- Python Data Science Handbook by Jake VanderPlas
R
- An Introduction to Statistical Learning with Applications in R by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani
- The Elements of Statistical Learning: Data Mining, Inference and Prediction by Trevor Hastie, Robert Tibshirani and Jerome Friedman
- Statistical Inference via Data Science: A ModernDive into R and the Tidyverse by Chester Ismay and Albert Y. Kim
Websites
- Learn Code the Hard Way
- W3 Schools
- UBC’s Introduction to Machine Learning
- from Data to Viz
- Regular Expressions 101
Blogs & Podcasts
- 911 Metallurgist Blog
- “Applied Machine Learning” by Varada Kolhatkar for the University of British Columbia
- “Machine Learning Guide” by OCDevel
Authors
Allyson Stoll
(she/they)
Mining Generalist ⛏️
AI Strategist & Evangelist 💻
Neurodivergent Unicorn 🦄
Allyson is a highly motivated mining and mineral processing engineer with 15 years of experience. Her background is primarily in comminution and flotation optimization utilizing advanced process controls and expert systems.
She completed a Masters of Data Science from the University of British Columbia to hone and utilize her data science skills and subject matter expertise to transform the mining industry.
Her research interests are concentrated on decentralized task allocation for haulage fleets and the use of advanced simulation and optimization for data-driven decision support.