- Is there a trade-off between bias and variance?
- How can gradient descent be a problem?
have you used Exploratory Data Analysis?
steps do you take when choosing a Machine Learning model?
convolutions better for images compared to FC layers?
- Are Residual
- How does
batch normalization work?
- Have you
ever worked with an imbalanced dataset?
- What are
the highlights of your MSc research? What didn’t work? What else could you have
- How have you overcome over/ under fitting your data model?
- What are the key dangers associated with dimensionality?
- Why is regularization used?
- How would you run a Principal Component Analysis (PCA)?
- Why is data normalization used?
- Why is dimensionality reduction important?