Machine Learning related tips

Learning (rate, data etc.) 

Tuning learning rate in gradient descent

Optimizing gradient descent

Data vs. Algorithm



Why does regularization work? (Simpler model corresponds larger regulizations)

Test Run - L1 and L2 Regularization for Machine Learning

How to avoid overfitting with regularization?