This course covers the most neglected yet critical skills in machine learning, four vital techniques that are very rarely covered – most courses and books omit them entirely.
1) UPLIFT MODELING (AKA PERSUASION MODELING): When you're modeling, are you even predicting the right thing?
2) THE ACCURACY FALLACY: When evaluating how well a model works, are you even reporting on the right thing?
3) P-HACKING: Are your simplest discoveries from data even real?
4) THE PARADOX OF ENSEMBLE MODELS: Do you understand how they work, even though they seem to defy Occam's Razor?Read more.
This resource is offered by an affiliate partner. If you pay for training, we may earn a commission to support this site.
The techniques and tools covered in Four Rare Machine Learning Skills All Data Scientists Need are most similar to the requirements found in Data Scientist job advertisements.