Dominant colors in an image using k-means clustering

4 Ways to Easily Fool your Deep Neural Net

Discussing adversarial techniques to make Neural Networks…

Mathematical Optimization: ‘simplicity is all you need’

How to define Machine Learning?

“A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E.”

The Task, T

Energy Preserving Neural Networks

In the current deep learning era, there is a neural network architecture available for possibly…

Gotta Autoencode ’em All

Today, let’s talk about Autoencoder. To do that, I will use an analogy with Pokémon, OK? This will be fun. Imagine that you are Ash Ketchum (a.k.a Satoshi) and a big Snorlax appears in the middle of your path, preventing you from following your journey to be a Pokémon master.

Machine Learning for Systems and Systems for Machine Learning

Short summary of a talk by Jeff Dean from Google Brain at NIPS, December, 2017

Data Play: Balance Scale

Exploring and applying data science techniques to the balance scale set.

Blind faith in Big Data: time to an end?

Algorithms are opinions embedded in code. One of the many interesting sentences left by…