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Speaker: Alejandro Saucedo
Secure ML: Automated Security Best Practices in Machine Learning
Meditations on First Deployment: A Practical Guide to Responsible Development
Real Time Stream Processing for Machine Learning at Massive Scale
A practical guide towards algorithmic bias and explainability in machine learning.
The state of Machine Learning Operations in 2019
A practical guide towards explainability and bias evaluation in ML
Industrial Machine Learning Pipelines with Python & Airflow
Industrial Machine Learning Pipelines with Python & Airflow
Industrial ML - Overview of the technologies available to build scalable machine learning
Industrial Data Pipelines with Python and Airflow
Industrial Machine Learning: Building scalable distributed machine learning pipelines with Python
