In this article, the authors explore how we can build a machine learning model to do predictive maintenance of systems. They discuss a sample application using NASA engine failure dataset to predict the Remaining Useful Time (RUL) with regression models. ... (more…)

Articles Overview, goals, learning types, and algorithms Data selection, preparation, and modeling Model evaluation, validation, complexity, and... (more…)

This is the personal website of a data scientist and machine learning enthusiast with a big passion for Python and open source. Born and raised in Germany, now living in East Lansing, Michigan.

Examples Awesome Deep Learning A curated list of awesome Deep Learning tutorials, projects and communities. Pretrained.ML Compilation of pre-trained deep learning models with demos and code at TFID… (more…)

This post details how to harness machine learning to build a simple autoencoder with PyTorch and Filestack, using realtime user input and perceptual loss. (more…)