Agricultural Data Analytics
Foundations and Inference
Title page
Welcome to Agricultural Data Analytics. This book is the primary reading for AREC 261 at the University of Saskatchewan. Embedded in the textbook are my own videos, other resources, and the test bank. There is also a GPT that is trained on the material for this class. You can obviously use any AI to help you learn, but this AI tool is trained on the class material so it may prove more helpful. The syllabus for the course is here.
I have tried to create as many ways for you to learn as possible. You may find some work for you and others don’t. Personally, I hate the sound of my own voice so I would avoid the videos – but I know some people learn best by watching and listening. Others might learn best by just jumping right to doing the practice questions and having the AI tutor help them when they don’t know what to do. Whatever works for you!
The in-class tests are a subset of the practice questions, so if you have mastered the practice questions, it doesn’t really matter how you got there.
This book is a work in progress. If you find errors, unclear passages, or places where an extra example would help, please let me know at peter.slade@usask.ca or using the anonymous feedback form. AI tools were used for brain storming, content generation, and editing – but I am responsible for all errors.