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).
Databricks has an experimental feature where you may customize your runtime container using Docker containers. In this article, we show how you can quickly manage your Java/Scala dependencies when creating a Docker container for data science purpose. To start off, we will build our Docker container based off of the […]
Databricks has an experimental feature where you may customize your runtime container using Docker containers. In this article, we show how you can quickly build a Docker container for data science purpose. In particular, we will create a Docker container for use with Databricks with some Natural Language Processing (NLP) […]
Use this GPU-friendly docker image with out-of-the-box Deep Learning (DL) APIs such as Tensorflow, PyTorch, MxNet, spaCy and AllenNLP.
Use this docker image with out-of-the-box natural language processing (NLP) APIs.
Use this docker image to experiment with all of Pytorch’s convolutional neural networks (CNNs) on your own image classification problems.
Use this docker container on a RaspberryPi to apply data science with Scikit-Learn with your own data.
Use this docker container on a RaspberryPi to learn Natural Language Processing (NLP).
Use this docker container with Jupyter Lab on a RaspberryPi.
Use this docker container with Tensorflow on a RaspberryPi for Deep Learning.