A code example to get you up-and-running quickly

The official Azure Machine Learning Studio documentation, the Python SDK reference and the notebook examples are often out-of-date, or don’t cover all important aspects, or don’t provide a compelling end-to-end example. This guide is an attempt to cover the necessary basics, hopefully accelerating you in building a machine learning pipeline…

To go full Kubernetes-native or not?

The recent explosion of tools including task and data orchestration tools should make you wonder if you’re still doing the right thing. Purely based on Github-stars of the open-source frameworks, Airflow is still the most popular one. This does not take into account the popularity of closed-source, or cloud vendor…

Adding noise to existing rows, only adding noise to outcomes of tasks performed on that data, or synthetic data generation? An intuition.

As companies grow, or as regulations get more strict, or as senior IT architects get up to speed with the latest trends, the need (or obligation) to mitigate privacy and leakage risks get stronger for data processing entities.

Data anonymization or data tokenization techniques are widely used in this context…

Getting Started

AWS Sagemaker, Azure ML platform or GCP AI platform? It actually doesn’t matter. Not for industrialisation.

First, I’m going to assume that you have chosen a cloud service provider (CSP), or in the position to choose one for your organisation. Secondly, I’m also assuming that you need to be able to build, train, tune, evaluate and deploy a machine learning model, then the first thing you…

Coussement Bruno

Data Engineer at Data Minded BE

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