Azure Machine Learning Deployment at Scale Using ARM and AMLPS.

Introduction In this post, I will demonstrate how to do a simple but useful scenario when managing Azure Machine Learning Workspaces and Experiments, copying all the experiments under one workspace, deploy a new workspace using ARM (Azure Resource Manager) in another region, and then copy the experiment under the newly deployed workspace. Preparation You will… Read More »

The lean startup – book notes

The lean startup by Eric Ries is a very interesting book about creating a successful business. It’s really a great read even if you are not working in a startup. Actually most large company moved away from previous development processes that didn’t adapt well to the new technologies. In today world, we ship software daily, sometimes… Read More »

What makes a team effective?

I often wonder what makes some team more effective than other. Why I felt more empowered in some team compared to some others. The simplistic reasons that pops to mind are about the quality of the leadership and the joy experimented at work. The People Operation team at Google shared interesting conclusions from a study… Read More »

Prioritizing features and requests

As an engineer we often get approached by a PM, or other teams members, for features, update in requirements, or any other changes. Some change will sounds really exciting, either because they are intellectually challenging or because their outcome looks obviously great. However, before getting too excited there a few questions we can ask that will… Read More »

How to lie with statistics

Just before the thanksgiving break, I attended to a book club event (internal to Bing) and Scott Berkun advised to read the book “How to lie with statistics”. I decided to use the thanksgiving break time to read it. Written by Darrell Huff in 1954, the book was extremely refreshing (the tone used in the… Read More »

Introduction to Machine Learning, from data acquisition to a production service

In this post I want to share some notions of machine learning and a how-to get started with Microsoft Azure ML studio. Machine learning is a quite complex topic, especially if you want to understand the theory and algorithms that are behind it. If you want to go deeper in understanding ML I would encourage… Read More »