Cloudera Applied Machine Learning Prototype Hackathon

AMP Catalog: https://cloudera.github.io/Applied-ML-Prototypes/#/

AMP Documentation: https://docs.cloudera.com/machine-learning/cloud/applied-ml-prototypes/topics/ml-amps-overview.html

CDSW Documentation: https://docs.cloudera.com/cdsw/latest/index.html

More about Applied ML Prototypes:

AMPs were born from the observation that data scientists very rarely start an ML project from scratch. The pattern that we most often observe is that after a data scientist understands the problem and the data that they have to work with, they search the internet to find an example of something similar to what they are trying to accomplish. Unfortunately, this pattern of development has the following drawbacks: (1) no visibility into the author's credibility, (2) no guarantee that the code uses current best practices, and (3) unknown whether the libraries used will work in your current environment.

AMPs are the solution to this age-old (well, 21st century old) problem. Every AMP was built by a member of Cloudera’s ML research group, Fast Forward Labs. Each AMP goes through a rigorous review process by some of the brightest and credible ML minds. AMPs are periodically reviewed and updated to ensure that methods and libraries are up-to-date. Lastly, each AMP ships with requirements file so that a clean and consistent environment can be deployed with the correct dependencies.