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  • Blog Post: Fun with ML, Stream Analytics and PowerBI – Observing Virality in Real Time

    This post is authored by Corom Thompson and Santosh Balasubramanian, Engineers in Information Management and Machine Learning at Microsoft Updated 5/2/2015 We've had some questions so we updated this post to be more clear. To answer the top one: No we don't store photos, we don't share...
  • Blog Post: In ML, What They Know Can Hurt You

    This blog post is authored by Juan M. Lavista, Principal Data Scientist at Microsoft. Imagine you own a restaurant in a city (any city but not Seattle * ). From inside the restaurant there’s no way to see the outside. You come up with a marketing plan that if it rains, your restaurant will provide...
  • Blog Post: 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...
  • Blog Post: Tweet Chat with John Platt – Thu December 4th, 1pm PDT

    Tweet Chat with John Platt Thu December 4 th , 1 pm PDT Hosted by: @MLatMSFT Hashtag: #MLatMSFT He is one of the leading experts in Machine Learning, a multi-patented inventor and data guru. During his Ph.D. at Caltech he even managed to discover a couple of asteroids! He is a Distinguished...
  • Blog Post: Exploration: Data Science... with Mario Garzia

    This blog post is authored by Mario Garzia, Partner Data Sciences Architect, Technology and Research Data Science and “big data” have become 21 st century buzzwords in the tech industry. Yet in many ways the term “Big Data” is relative to our ability to collect, store and process...
  • Blog Post: Free Webinar - ML for Business Users & Enterprise Developers

    Re-posted from Gigaom Research. This webinar will explore ML concepts in terms that business users can understand. A panel will discuss how ML can be used by mainstream developers and database professionals as an important tool for business decision making. This session will be most relevant for business...
  • Blog Post: ICYMI - Free Machine Learning and Predictive Analytics Training

    In case you missed it: If you're not a data scientist, but interested in the power of ML and predictive analytics, be sure check out this level 100 Microsoft Virtual Academy course on Azure ML. In a demo-rich format led by entertaining experts Buck Woody, Seayoung Rhee and Scott Klein, you...
  • Blog Post: Microsoft to Acquire Revolution Analytics

    Re-posted from the Official Microsoft Blog Microsoft has reached an agreement to acquire Revolution Analytics . Announcing this earlier today, Joseph Sirosh , Corporate Vice President of Information Management and Machine Learning at Microsoft, said “Revolution Analytics is the leading commercial...
  • Blog Post: Microsoft Acquires Equivio, Provider of ML Solutions for eDiscovery and Information Governance

    Re-post from the Official Microsoft Blog Our customers generate enormous volumes of data every day including tons of email and documents. Sifting through all that data to find what is relevant to a specific legal or compliance issue can be prohibitively expensive and time consuming. We acquired...
  • Blog Post: Award-Winning Research Paper Brings Precision to Sampling Methods Used in Statistics and ML

    Through a new, efficient algorithm for exact sampling, Microsoft researchers Daniel Tarlow and Tom Minka , along with former Microsoft intern Chris Maddison , address a core problem of statistics and machine learning (ML). The authors submitted their algorithm at NIPS 2014 where it was picked as one...
  • Blog Post: Addressing Fairness, Accountability, and Transparency in Machine Learning

    Hanna Wallach is a Microsoft ML researcher based out of New York City and also serves as a faculty member in the Computational Social Science Initiative at the University of Massachusetts Amherst. Hanna recently gave a talk on the topic of Fairness, Accountability, and Transparency in ML at NIPS 2014...
  • Blog Post: Readers’ Choice – Our 10 Most Popular ML Blog Posts of 2014

    We launched this blog in June 2014 with the intent of sharing important advances and practical knowledge accumulated by Microsoft in the field of ML. After six months of regular posts, many of them authored by world-leading ML researchers and practitioners, we are seeing tens of thousands of readers...
  • Blog Post: Skype Translator Puts Machine Learning to the Test

    Our previous post had a video showing Skype's automatic speech translation in action . In this post, we share an infographic from the Skype team about how they perform such automatic speech recognition and translation (including how they translates instant messages in over 40 languages). You...
  • Blog Post: WIRED: How Skype Used AI to Build Its Amazing New Language Translator

    Re-posted from an article that recently appeared on “… a new Microsoft technology that seems borrowed from the world of Star Trek ” “… a Skype add-on that listens to the English words you speak into Microsoft’s internet phone-calling software and translates...
  • Blog Post: Machine Learning Trends from NIPS 2014

    This blog post is authored by John Platt , Deputy Managing Director and Distinguished Scientist at Microsoft Research. I just returned from the Neural Information Processing Systems (NIPS) 2014 conference , which was held this year in Montreal, Canada. NIPS is one of the two main machine learning...
  • Blog Post: Bing brings the world’s knowledge to your Office documents

    Imagine your child is writing a report about Abraham Lincoln, they just started and so far they’ve typed: “Lincoln was the 16th president of United States. He was born in…” but then realize they’ve forgotten when Honest Abe was born. Ordinarily, they would have to leave...
  • Blog Post: Advancing Research in Sign Language Recognition

    Re-post of a recent article that ran on the An estimated 360 million people worldwide suffer from hearing loss. But a majority of hearing individuals do not understand sign language. So communication between the hearing and the deaf can be challenging. Now researchers are poised to make such interactions...
  • Blog Post: Machine Learning – Hype or Reality? Microsoft ML Experts Weigh In

    The recent Practice of Machine Learning Conference at Microsoft concluded with a lively panel discussion moderated by principal researcher Misha Bilenko on the topic of: "Are We at Peak ML, or at the Start of AI Takeover? Hype vs. Reality of Machine Learning.” Our panelists were: ...
  • Blog Post: Rapid Progress in Automatic Image Captioning

    This blog post is authored by John Platt , Deputy Managing Director and Distinguished Scientist at Microsoft Research. I have been excited for many years now in the grand challenge of image understanding. There are as many definitions of image understanding as there are computer vision researchers...
  • Blog Post: Forget the pollsters: Microsoft's Bing predicted midterm election with 95% accuracy

    This is a re-post of an article from NetworkWorld. The search engine continues its track record of astonishingly accurate predictions. "Now that the dust has settled from the elections, Bing Predict has won out again with a 95% accuracy rate in calling the House, Senate, and Governor's...
  • Blog Post: How We Share Machine Learning Knowledge at Microsoft

    We recently concluded the Fall 2014 edition of our Practice of Machine Learning Conference (PMLC). Over 1,700 Microsoft employees attended the two day event, which featured 60 talks on a broad spectrum of areas ranging from new algorithms to ML applications such as anomaly detection and fraud. Tutorials...
  • Blog Post: From Stumps to Trees to Forests

    This blog post is authored by Chris Burges , Principal Research Manager at Microsoft Research, Redmond. In my last post we looked at how machine learning (ML) provides us with adaptive learning systems that can solve a wide variety of industrial strength problems, using Web search as a case study...
  • Blog Post: Microsoft Machine Learning Hackathon 2014

    This blog post is authored by Ran Gilad-Bachrach , a Researcher with the Machine Learning Group in Microsoft Research. Earlier this summer, we had our first broad internal machine learning (ML) hackathon at the Microsoft headquarters in Redmond. One aspect of this hackathon was a one-day competition...
  • Blog Post: Video – Pier 1 Imports Uses Azure ML to Build a Better Relationship with their Customers

    This is the first in a series of posts on how Microsoft customers are gaining actionable insights on their data by operationalizing Machine Learning at scale in the cloud. With over 1,000 stores, Pier 1 Imports aims to be their customers’ neighborhood store for furniture and home décor...
  • Blog Post: Machine Learning, meet Computer Vision – Part 2

    This blog post is co-authored by Jamie Shotton , Antonio Criminisi and Sebastian Nowozin of Microsoft Research, Cambridge, UK. In our last post , we introduced you to the field of computer vision and talked about a powerful approach, classifying pixels using decision forests, which has found broad...