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.
Harnessing the power of supercomputer and patient modelling to deliver unparallelled medical insights and predict treatment outcomes for patients.
We survey 146 papers analyzing «bias» in NLP systems, finding that their motivations are often vague, inconsistent, and lacking in normative reasoning, despite the fact that analyzing «bias» is an inherently normative process.
Language (Technology) is Power: A Critical Survey of «Bias» in NLP Leer más »
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.
Machine Learning for Medical Imaging Analysis Demystified Leer más »
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.
Technologies are not neutral, neither are choices in the public procurement of AI. The AI systems we deploy today are the systems we will live with tomorrow.
Data Ethics in Public Procurement of AI-based Services and Solutions Leer más »
An extensive list of fundamental machine learning models and algorithms from scratch in vanilla Python.
In public health, contact tracing is the process to identify individuals who have been in contact with infected persons. Proximity tracing with smartphone applications and sensors could support contact tracing. It involves processing of sensitive personal data.
TechDispatch #1/2020: Contact Tracing with Mobile Applications Leer más »