The Unofficial Google Data Science Blog

OCTOBER 31, 2016

By PATRICK RILEY For a number of years, I led the data science team for Google Search logs. We were often asked to make sense of confusing results, measure new phenomena from logged behavior, validate analyses done by others, and interpret metrics of user behavior. Some people seemed to be naturally good at doing this kind of high quality data analysis.

Metrics 107

Metrics Measurement Statistics Data Collection 107

Martha Bennett

NOVEMBER 2, 2016

Few would disagree that for IoT to live up to its promises, devices will sooner or later need to communicate directly, autonomously and securely with each other. Well-architected blockchain-based systems can help deliver those requirements, but they’re not available or even feasible today. In many ways, that’s a good thing, because it opens up great […].

IoT 40

IoT IT 40

Nutanix

NOVEMBER 2, 2016

There’s no question that enterprise application usability has for the most part been left behind.

Enterprise 20

Enterprise 20

Nutanix

OCTOBER 31, 2016

There’s no question that enterprise application usability has for the most part been left behind.

Enterprise 20

Enterprise 20

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Experimentation