Learn the logic behind predictive algorithms and apply them to your own biological datasets. Stop treating Machine Learning as a "black box".
Modern biology generates massive, complex datasets. Traditional statistical methods often fail to capture non-linear patterns. Many researchers avoid Machine Learning because they fear the complex mathematics behind it, treating algorithms as a "black box" they can't explain in their papers.
Our "By Researchers, For Researchers" philosophy ensures you leave with results, not just notes.
Mornings are dedicated to explaining the concepts behind the algorithms and the R syntax, avoiding heavy math jargon.
You will replicate the instructor's scripts using provided datasets to ensure you master the technique.
The core of TS: Afternoons are for working with Your Own Data under instructor supervision.
Participants should have basic knowledge of R and RStudio (data import, basic manipulation). Hardware requirements: Webcam, microphone, and good internet connection for live sessions.
Highland Statistics Ltd. Statistical consultant for ecological data. Author of "A Beginner's Guide to R".
Highland Statistics Ltd. Biologist and senior statistician specialized in teaching R.
Schedule: 14:00 - 18:00 (Madrid Time)
Includes detailed hourly schedule and reading list.
Includes attendance, materials, official certificate and recordings (limited time).
* Members of these societies may benefit from a 20% discount.