Systems Engineering for Machine Learning

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Machine Learning development has until now been a fairly experimental endeavour. By applying Systems Engineering practices, for example by defining its development lifecycle, it can be brought closer to traditional engineering disciplines.

From Guessing to Knowing: How to Become Data Driven

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Have you ever been told that something has been decided but not why? Have you seen initiatives being launched that later just disappeared without a trace? Or have you maybe experienced taking decisions based on incomplete information yourself, but never knew if they were right or wrong?

Fly me to the moon

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Reflections on the book “Failure is not an option”, the inside story of what went on in Mission Control at NASA

Addalot Consulting