Available today, GeoAI Data Science Virtual Machine (DSVM) on the Azure cloud platform. At the heart of the GeoAI Virtual Machine is ArcGIS Pro. In addition to the comprehensive ML and deep learning samples, a set of geo-spatial AI examples are provided on the VM, to help you get started quickly. The VM also contains a full end-to-end tutorial on land use classification at a pixel level using deep learning and Azure GPU instances.

Microsoft announced the next major update to Windows will include the ability to run Open Neural Network Exchange (ONNX) models natively with hardware acceleration. ONNX is an open source model representation for interoperability and innovation in the AI ecosystem.

In this blog post, Azure Machine Learning is used to train, test, and operationalize a model to help detect pneumonia and 13 other thoracic diseases using chest x-ray images! Source code and data provided.

This blog post discusses a method for improving Bayesian priors, using the BayesGOF R package.

There are many ways to detect outliers. The OutliersO3 package compares 6 different methods in this blog post.

Hilary and Roger discuss limiting the number of loaded R packages, more Microsoft R, whether A/B testing is dead, and transcendental meditation.

Image Similarity with Python implemented on SQL Server 2017 Machine Learning Server.

A short into to where things live in R compared to Excel. Excel is a very visual medium - you can see and manipulate your objects all the time. You can do the same in R. Promise :)

This full-length tutorial shows how to use Azure Machine Learning services end to end for creating a machine learning model for Skin Cancer Detection and run it on mobile phones.

A link to the paper “Why Should I Trust You? - Explaining the Predictions of Any Classifier” and its implementation is available in the video description.

A link to the paper “Building Blocks of Interpretability” is available in the video description.

This episode of the AI Show is the first in a series talking about the Azure ML Services. The new Azure Machine Learning Services provide an integrated, end-to-end data science experience.

The new and rapidly expanding role of the Chief Data Officer (CDO) is of significant interest and relevance to organisations and data professionals internationally. Written by two practicing CDOs, this new book offers a jargon-free, practical guide to making better decisions based on data.

Blending the informed analysis of The Signal and the Noise with the instructive iconoclasm of Think Like a Freak, a fascinating, illuminating, and witty look at what the vast amounts of information now instantly available to us reveals about ourselves and our world—provided we ask the right questions.