This case study explores the basics of machine learning. Two parts exist to this case study, a theory portion and a classification task for the Higgs Bosson Challenge. The case studies are presented as jupyter notebooks inside Docker containers.
The docker images for this case study are located on dockerhub. Running the commands below will automatically download and start a jupyter notebook.
Run the Docker image:
docker run -p 8888:8888 --rm springernlp/chapter_2:latest
If you want to build the Docker image from scratch, use the following command.
docker build -t chapter_2:latest .
More information can be found at: Deep Learning for NLP and Speech Recognition by Springer