If your ML fundamentals are strong, you can transition relatively easily between different applications or sub fields
#How generalised are the technical concepts of different fields of AI?
weary birch
Granted, you wil have to pick up domain specific knowledge of the field regardless (ie NLP is much different than Computer Vision)
hybrid totem
depends, if you know the basics, transitioning should be easy, though it would require time and effort on your end.
dusty field
If i mind ask, what are these basics and fundamentals of machine learning. Are they about understanding JSON files and lines? Knowing how to fine tune? Identifying different parameters for AI? Kinda confused ngl
weary birch
Your fundamentals are mostly around
- how to train learning models (ie how to process, clean, and split data)
- how the following classical ML models work for linear regression and classification (KNN, MLP, SVM, trees/forests)
- how gradient descent works
- how techniques like bagging and boosting work
dusty field
Thank you so much @weary birch