by media2b | Nov 4, 2021
What threats do we need to take into account when building a system? A key method for answering this question is an approach called threat modelling, whereby security problems can be anticipated during the design phase. This talk discusses major threat-modelling...
by media2b | Nov 4, 2021
With machine learning becoming more and more an engineering problem the need to track, work together and easily deploy ML experiments with integrated CI/CD tooling is becoming more relevant then ever. In this session we take a deep-dive into Azure Machine Learning, a...
by media2b | Nov 4, 2021
Digital Elevation Models (DEM) are widely and freely available. This talk will focus on how to process this type of data to make it useful for agricultural purposes. Specifically we’ll explore how to calculate where shadows are casts, and where rain water will...
by media2b | Nov 4, 2021
Managing your the ML Lifecycle is one of the big problems for institutions and companies nowadays. How to shift away from the experimental notebooks and data labs and at the same time maintain the reproducability of the transparancy of the ML systems With this talk...
by media2b | Nov 4, 2021
Untransparent black box models feed scepsis towards AI in the general public and prevent the full use of powerful possibilities of AI. In the past, we often focussed on building the newest, most ingenious, and exciting models. Nowadays, our attention has to shift...
