Announcing Google’s 2015 Global PhD Fellows

Posted by Michael Rennaker, Google University RelationsIn 2009, Google created the PhD Fellowship program to recognize and support outstanding graduate students doing exceptional research in Computer Science and related disciplines. Now in its seventh year, our fellowship programs have collectively supported over 200 graduate students in Australia, China and East Asia, India, North America, Europe and the Middle East who…
Original post: Announcing Google’s 2015 Global PhD Fellows
Source: Google Research

An Introduction to the Poisson Bootstrap

by AMIR NAJMIThe bootstrap is a powerful resampling procedure which makes it easy to compute the distribution of any statistical estimator. However, doing the standard bootstrap on big data (i.e. which won’t fit in the memory of a single computer) can be computationally prohibitive. In this post I describe a simple “statistical fix” to the standard bootstrap procedure allowing us…
Original post: An Introduction to the Poisson Bootstrap
Source: Unofficial Google Data Science

Welcome to the unofficial Google data science blog

Despite Google’s technical achievements with big data, it may come as a surprise that there is no official Google blog for data science. True, Google Research puts out many academic papers and has a blog describing matters of interest to researchers. But what has been missing to date is a conversation about the nuts-and-bolts, the day-to-day of large scale analytical systems Google…
Original post: Welcome to the unofficial Google data science blog
Source: Unofficial Google Data Science

The Next Chapter for Flu Trends

Posted by The Flu Trends TeamWhen a small team of software engineers first started working on Flu Trends in 2008, we wanted to explore how real-world phenomena could be modeled using patterns in search queries. Since its launch, Google Flu Trends has provided useful insights and served as one of the early examples for “nowcasting” based on search trends, which…
Original post: The Next Chapter for Flu Trends
Source: Google Research

Google Faculty Research Awards: Summer 2015

posted by Maggie Johnson, Director of Education and University RelationsWe have just completed another round of the Google Faculty Research Awards, our annual open call for research proposals on Computer Science and related topics, including systems, machine learning, software engineering, security and mobile. Our grants cover tuition for a graduate student and provide both faculty and students the opportunity to…
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America needs more H1B visas, but (probably) won't get them

The current US political climate is increasingly anti-immigration, including high-skilled immigration. This not only makes much-needed reforms of the H1B visa system increasingly unlikely, but suggests the program might be considerably scaled back. Unfortunately, I’ve been dealing with H1B-induced annoyances my entire career so far, and it looks to continue. The latest: my attempt to hire an internal transfer at…
Original post: America needs more H1B visas, but (probably) won't get them
Source: Machined Learnings

KDD 2015 Best Research Paper Award: “Algorithms for Public-Private Social Networks”

Posted by Posted by Corinna Cortes, Head, Google Research NYThe 21st ACM conference on Knowledge Discovery and Data Mining (KDD’15), a main venue for academic and industry research in data management, information retrieval, data mining and machine learning, was held last week in Sydney, Australia. In the past several years, Google has been actively participating in KDD, with several Googlers…
Original post: KDD 2015 Best Research Paper Award: “Algorithms for Public-Private Social Networks”
Source: Google Research

Paper Reviews vs. Code Reviews

Because I’m experiencing the NIPS submission process right now, the contrast with the ICLR submission process is salient. The NIPS submission process is a more traditional process, in which first (anonymous) submissions are sent to (anonymous) reviewers who provide feedback, and then authors have a chance to respond to the feedback. The ICLR submission process is more fluid: non-anonymous submissions…
Original post: Paper Reviews vs. Code Reviews
Source: Machined Learnings