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标题: Top 10 Most Popular Posts of 2015 [打印本页]
作者: morinson    时间: 2016-1-7 09:36
标题: Top 10 Most Popular Posts of 2015
Top 10 Most Popular Posts of 2015

ML Blog Team 6 Jan 2016 10:00 AM

The Machine Learning Blog takes a look back at 2015 with a quick look at its 10 most popular posts last year, based on audience views. They range from “Announcing the availability of the Microsoft Data Science Virtual Machine” to a “New edX course: Data Science & Machine Learning Essentials.”
The No. 1 post on the list is Fun with ML, Stream Analytics and PowerBI – Observing Virality in Real Time, which covers the APIs available in the Azure Machine Learning Gallery, including Project Oxford. You can see some of those APIs in the image above.
During the year, the focus of this blog expanded from machine learning exclusively to broader data science and advanced analytics.

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.






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