Mamma

## Posts

### A quick introduction to derivatives for machine learning people

### The importance of context

### Deep Neural Networks in Julia - Love at first sight?

### On the apparent success of the maximum likelihood principle

### Building and testing a simple deep learning object detection application

### About identifiability and granularity

### A gentle introduction to reinforcement learning or what to do when you don't know what to do

### A few thoughts on apparent bimodality for regression problems!

### A first look at Edward!

### On the equivalence of Bayesian priors and Ridge regression

### About choosing your optimization algorithm carefully

### The truth about priors and overfitting

### The insignificance of significance

### Implementing predictive sales modeling

### Doing price optimization in R

### About confidence intervals

subscribe via RSS