CAN WE REGULATE AI OR NOT? THIS IS THE QUESTION
“If we don’t change the direction soon, we’ll end up where we’re going.” Irwin Corey AI technologies are forecast to add USD 15 trillion to the global economy by 2030. At this moment, around the world, at least 50 countries (including the EU as a whole) have developed, or are in the process of developing, a national […]
LEADING FROM ABOVE THE LINE
I have been thinking a lot lately about Jim Dethmer’s book, “The 15 Commitments of Conscious Leadership“, and the valuable lessons he shares about the masterful art of leading others. Considering his book to be one of reference in leadership, I will, in the following paragraphs, attempt to convey to you the TL;DR of what […]
DEPLOYING A MACHINE LEARNING MODEL WITH AZURE ML PIPELINES
Machine learning pipelines are a way to describe your machine learning process as a series of steps such as data extraction and pre-processing, but also training, deploying, and running models. In this article, I’ll show you how you can use Azure ML Pipelines to deploy an already trained model such as this one, and use it […]
REVERSE ENGINEERING AN AZURE AUTOML FORECASTING MODEL
Azure Automated ML offers a quick and easy way to train baseline models for all sorts of machine learning tasks such as regression, classification, and time series forecasting. In this article I’ll show you how to reverse engineer an Azure AutoML model, decompose it into its atomic components, and use those components to create your own model, all […]
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