This article covers a few considerations when deploying DSVM in large enterprise configurations.

How to reduce 90% misclassification of retinal diseases over state-of-the-art system with 16 lines of Python code, no parameter tuning and 10 min of GPU training using AzureML Computer Vision Package.

This blog post covers the basics of how to Execute R and Python in T-SQL statements.

This solution uses SQL Server 2017 and ML Services with R or Python to train a machine learning model to categorize text.

Are you trying to build your own Cortana / Alexa / Siri but with custom voice models? Then take a look at the New Microsoft Speech Service SDK.

In this podcast by DataCamp, Hugo Bowne-Anderson approaches this question from the perspective of what problems Data Science tries to solve instead of what definition fits it best.

This great podcast by Cole Knaflic, ex-Google People Analytics team member, shares practical tips and examples of effective data visualization and storytelling with data. Thanks for Gemma Dawson for the great recommendation!

“Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You’ll discover the power of storytelling and the way to make data a pivotal point in your story. ”

I recommend getting the Audible version. In the audio version Cole verbally explains the nearly 150 graphs featured in the book, which are also provided in a PDF file.

23-24 May 2018, Intel hosts its inaugural AI DevCon event. Videos from the Main stage are available in the link above. Check out Andrew Ng’s closing keynote.

An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!

Siraj Raval does a breakdown of the IBM Logistics Wizard, an AI-based supply chain enhancement. Links to code on GitHub and Youtube video.

“Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari” is available here.

“Gaussian Material Synthesis” and its source code is available here.