Data mining -> Data analysis -> Machine Learning
Linear Algebra (Matrix) -> Statistics (Probability/inference) -> Calculus
- Linear Algebra = Matrix (or “Tensor”) math. Wx + b. Chopping in the analogy.
- Stats = Probability/inference, the heart of machine learning. Recipes/cookbook.
- Calculus = Learning. Moving the error dot to the bottom of the valley. Baking, the actual “cook” step.
Framework and Language
Java/Scala -> Matlab/R -> Python