Free Webinar Tomorrow: Building Predictive Models with Large Datasets

Predictive analytics problems often involve large datasets that aren’t manageable on a single local client or even a server machine. This webinar will use the public NYC taxi ride dataset to discuss how to store, manipulate and analyze such large data sets using Azure storage, HDInsight (Hadoop) and Azure ML. We will use the new… Read more

Video – JJ Food Service Predicts Customers’ Future Orders Using Azure ML

In a popular earlier post, we had talked about the creative use of cloud analytics at JJ Food Service, a large food delivery service company in the UK. In this video, their Chief Operating Officer, Mushtaque Ahmed, talks about how JJ Food Services tapped into a rich trove of existing data to anticipate customers’ future… Read more

Azure ML Powers the Brain of the Modern Smart Grid

Our next post in the series on how Microsoft customers are gaining actionable insights on their data through the power of advanced analytics – at scale and in the cloud. What could big data have to do with the reliable flow of electricity? As it turns out – a lot. Electrical grids include power plants,… Read more

Azure ML: Now With Even More Python!

This post is authored by Shahrokh Mortazavi, Partner Director of Program Management, Microsoft Azure Machine Learning Hello again Python enthusiasts!  In a previous post I discussed how PTVS can be used as a powerful Data Science workbench. I'm very excited to talk about two important new Azure ML features for Python users: Azure ML Studio… Read more

Laundry Innovator Improves Customer Service Using Cloud Analytics

We continue our series of posts on how Microsoft customers are gaining actionable insights on their data by operationalizing ML and advanced analytics – at scale and in the cloud. WASH Multifamily Laundry Systems provides outsourced laundry services to apartment buildings, at university housing environments, motels, hotels and more. With an installed base of over… Read more

Free Webinar Tomorrow: The Cloud Data Science Process

At this webinar, Microsoft Data Scientists will demonstrate the end-to-end data science process in the cloud using Python, R, a range of Azure cloud technologies, SQL Server, IPython Notebook and more. The process will start from raw data and ends at the point where we have a ready-to-consume web service API of an ML model… Read more

What Beer to Go with that Burger? Ziosk Can Help

We continue our series of posts on how Microsoft customers are gaining actionable insights on their data through the power of advanced analytics – at scale and in the cloud. A new tabletop platform from Ziosk will use Microsoft big data and cloud technologies to predict restaurant guests’ preferences – things such as a personalized… Read more

5 lucrative tech careers to pursue in 2015

Re-post from a recent article featured on Looking to make the biggest bucks in the fastest growing industry? There are two crystal clear – albeit unsurprising – commonalities among the top 10 highest paying jobs in the tech industry. If you want to cash in the biggest checks, you have to: Step 1: Become a… Read more

Connected Cows? Azure Machine Learning in an Unlikely Place

Repost from a session delivered by Joseph Sirosh at Strata + Hadoop World in San Jose in February. A surprising conversation about a farmer’s dilemma, a professor’s ingenuity and how the cloud, advanced data analytics and devices all came together to fundamentally re-imagine an age old way of doing business. This video is just over… Read more

Convolutional Neural Nets in Net#

This blog post is authored by Alexey Kamenev, Software Engineer at Microsoft. After introducing Net# in the previous post, we continue with our overview of the language and examples of convolutional neural nets or convnets. Convnets have become very popular in recent years as they consistently produce great results on hard problems in computer vision,… Read more