The fastest way to get started, and the best experience, will be if you work from within IBM Data Science Experience (DSX). Go to https://datascience.ibm.com to sign up for an account. When you sign up, an IBM Bluemix account will also be created for you (with the same credentials).
From IBM DSX, you can begin to access the data by running the introductory notebooks. One thing to note: use Python 2.7 instead of Python 3.5. The ibmseti package only installs on 2.x at the moment.
- Step 1: Get Data
- Step 2: Reading Data and Creating Spectrogram
- Step 2b: List of Signal Classes
- Step 3: Build PNG Files
- Step 4: First Classifier with Watson Visual Recognition
- Step 5: TensorFlow and Neural Nets
- Moving Data To and From IBM Object Storage
- Moving Data To and From your Nimbix Cloud
- Connect your IBM DSX Account to an existing AWS EMR cluster
See the JudgingCriteria document
There are bound to be bugs, problems and questions. Please submit bug reports to the "Issues" in this GitHub repository.
You can also chat with organizers and other participants on our Slack Team.