Here’s a post analyzing some available COVID-19 patient-level data. This code is also published online.
Here’s a post about some of the fundamental probability distributions used in Schedule Risk Analysis. After understanding these distributions and how to code them up in Python, the power of improving your project schedules is at your finger tips!
Here’s an easy way to do pose estimation with Yolo and High-Resolution Networks using Docker containers. What are the implications of such power at your finger tips? Imagine you are in sports science. Would it not be great to learn and teach athletes how the motion of their movement impacts […]
If you want to learn Hadoop, Spark and Python (PySpark), we have published a Docker container to facilitate your learning efforts. The source code is available on GitHub and the container is published on Docker Hub. An example notebook is provided to get you jump started as well (see below).
Use this docker image to experiment with all of Pytorch’s convolutional neural networks (CNNs) on your own image classification problems.