Data Related

• Imbalanced Data
• Statistical Test to check Independence of Variables
• Cross Validation/Forward Chaining for Time Series Data

Optimizers

• Variants of Gradient Descent

Regularization

• L1 (lasso) for dummies
• Why it's fine for us to not apply Regularisation on Bias term

Loss Functions

• Cross Entropy, KL Divergence
• KL Divergence Forward and Reverse

DL Algorithms

• Generative Models (GANs)
• Variational Auto Encoders (VAE)

ML Algorithms

• Support Vector Machines Intuition

Miscellaneous

• No Free Lunch Theorem
• The VC (Vapnik-Chervonenkis) Dimension

Basic Math concepts

• Monte Carlo Approximation
• Positive Semidefinite Matrix
• Heteroscedastic / Heteroscedasticity model