The Bible of AI

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EUROPEAN CYBER SECURITY CHALLENGE 2020 (Change dates)

(Change of dates to 2021).Top cyber talents from each participating country will meet in Vienna to network and collaborate and finally compete against each other. Contestants will be challenged in solving security related tasks from domains such as web security, mobile security, crypto puzzles, reverse engineering and forensics and in the process collect points for solving them.

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Best Practices in Dataviz: An R Perspective

By the end of this you will have had a whirlwind tour of the very tip of the data visualization best-practices iceberg. We will go over a broad range of topics generally applicable to data science usecases but not dive too deep into any single one. One thing to keep in mind the whole time is none of this is absolutely set in stone, most often in the real world you have to bend or break some of these rules to do what you want.

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The Virtual Humans Factory

Harnessing the power of supercomputer and patient modelling to deliver unparallelled medical insights and predict treatment outcomes for patients.

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Machine Learning for Medical Imaging Analysis Demystified

This lecture will outline the fundamental ML processes involved in medical image analysis. Achieving prediction and classification for CAD applications will also be discussed. Some preliminary ideas of 3D reconstruction and viewing as applied in medical image analysis will also be presented.

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Guideline for AI for medical products

The objective of this guideline is to provide medical device manufacturers and notified bodies instructions and to provide them with a concrete checklist to understand what the expectations of the notified bodies are, to promote step-by-step implementation of safety of medical devices, that implement artificial intelligence methods, in particular machine learning, to compensate for the lack of a harmonized standard (in the interim) to the greatest extent possible.

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Machine Learning From Scratch

An extensive list of fundamental machine learning models and algorithms from scratch in vanilla Python.