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Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
An example of how the LIME algorithm can be used to provide real-world insight into the decision processes of a 'black-box' machine learning algorithm - in this case a Radom Forest regressor.
Example project and best practices for Python-based Spark ETL jobs and applications.
Automated testing and deployment of a simple Flask-based (RESTful) micro-service to a production-like environment on AWS, using Docker containers and Travis-CI.
Lightweight Elasticsearch client for R.
Machine learning pipelines for R.
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Jul 2 – Jul 31
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