Organizations rely on machine learning engineers (MLEs) to operationalize ML, i.e., deploy and maintain ML pipelines in production. The process of operationalizing ML, or MLOps, consists of a continual loop of (i) data collection and labeling, (ii) experi... (more…)

AI is building technology that behaves like a human, whereas Machine learning is a subset of artificial intelligence that uses algorithms to learn from data sets.

In this piece, the Friendly Overfitting Argument is laid out, as well as when it doesn't hold. Is overfitting in Machine Learning and Artificial Intelligence really as bad as people make it out to be? (more…)

Machine-Learning-Flappy-Bird - Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm... (more…)

In this article, we will take a look at each one of the machine learning tools offered by AWS and understand the type of problems they try… (more…)