A comprehensive set of tools for interoperability between Python and R. Allowing us to call Python from R, translation between R and Python objects and flexible binding to different versions of Python.

Sumit Gulwani, Partner Research Manager as Microsoft, discusses his personal research journey and Four Big Bets For Better AI Research. Blog post and YouTube video.

A walk through of a simple scalable solution that can handle thousands or even millions of sensors in an IoT setting. I will show how you can train many anomaly detection models (one model for each sensor) in parallel using Azure’s Batch AI. Source code on GitHub

The Azure Computer Vision API can easily extract all sorts of interesting information from images.

“The recent emphasis on data storytelling has led to a reduction in clear and accurate truth telling. When I was young, to say that someone “told stories” meant that they made stuff up”.

A free O'Reilly ebook on Machine Learning interpretability with open source code examples.

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

The Academic Research Summit series is a forum to foster meaningful discussion and discussion among the Indian Computer Science research community and enable collaborations to advance the state of the art and raise the bar on research efforts.

Learning by Playing - Solving Sparse Reward Tasks from Scratch" is available here: https://arxiv.org/abs/1802.10567

Bond is a cross-platform framework for working with schematized data. It supports cross-language de/serialization and powerful generic mechanisms for efficiently manipulating data. Bond is broadly used at Microsoft in high scale services.

Sample Code for Graph Partition Neural Networks

High scale Redis RQ based parallel job processing example written in Python running on Azure Linux VMs.

Find outliers in your data, using the most appropriate method and plot.

Python code to display Instagram in terminal.

Compute distance between sequences. 30+ algorithms, pure python implementation, common interface.

Human + Machine: Reimagining Work in the Age of AI - Kindle edition by Paul R. Daugherty, H. James Wilson. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Human + Machine: Reimagining Work in the Age of AI.

This really is the most WTF moment ever on Countdown (UK, 1997). A more in-depth analysis can be found here.