Top 10 Most Popular Posts of 2015

Here’s a quick look at our “Top 10” most popular posts in 2015, based on audience views. During the year, the focus of this blog expanded from exclusively ML to broader data science and advanced analytics. Not surprisingly, major new product announcements figure prominently on this list, but a few other entries may perhaps be a bit more unexpected.

With three posts tied for the 10th position, it’s more like a Top 12 list – we hope you enjoy this recap:   

10.
What Types of Questions Can Data Science Answer, by Brandon Rohrer.
Announcing the Availability of the Microsoft Data Science Virtual Machine, by Gopi Kumar.
Announcing the Public Preview of Azure Data Catalog, by Joseph Sirosh.

9.
Build and Deploy a Predictive Web App Using Python and Azure ML, by Raymond Laghaeian.

8.
Choosing a Learning Algorithm in Azure ML, by Brandon Rohrer.

7.
Excel Add-in for Azure ML, by Ted Way.

6.
Introducing Jupyter Notebooks in Azure ML Studio, by Shahrokh Mortazavi.

5.
New edX Course: Data Science & Machine Learning Essentials, by Chirag Dhull.

4.
Microsoft Closes Acquisition of Revolution Analytics, by Joseph Sirosh.

3.
Announcing the General Availability of Azure Machine Learning, by Joseph Sirosh.

2.
Announcing the General Availability of Azure Data Factory, by Joseph Sirosh.

1.
Fun with ML, Stream Analytics and PowerBI – Observing Virality in Real Time, by Corom Thompson and Santosh Balasubramanian.


 

ML Blog Team