• !2 Ways Your Data Might Be Skewed Without Your Knowledge
    Every marketing decision you make is backed by some kind of data, whether it’s a statistic, a report, or a trend. To make the right decisions, it’s important for that data to be as accurate as possible. It’s not enough to take the conclusion of…
    - 16 hours ago 22 Mar 18, 1:10am -
  • !How Big Data and Algorithmic Trading Is Dehumanizing Online Markets
    Algorithmic trading is the use of advanced, high-speed performance computer programs to execute trade entries and exits in the financial markets. Statistical models are used to generate the formulae with which the software can make market entries and…
    - 20 hours ago 21 Mar 18, 9:14pm -
  • How Retailers are Harnessing Machine Learning and Predictive Analytics
    Retailers are saying goodbye to intuitive guessing based on old-school data-gathering methods to convert customers. Welcome to the age of machine learning in retail, where online and brick-and-mortar business leaders can not only automate operational…
    - 1 day ago 21 Mar 18, 2:15pm -
  • Advances in Analytics Are Solving Workplace Equality Challenges
    In 2018, gender and racial equality are larger concerns than ever before. Fortunately, big data has the potential to address these issues in important new ways. It can help with hiring and compliance in virtually every organization. Concerns about wo…
    - 2 days ago 20 Mar 18, 10:41am -
  • Why Big Data Will Be Essential to Enforce New International Tax Codes
    With the rise of big data and artificial intelligence, digital technology knows very few borders. The levels of globalization the internet has introduced have had many benefits in this sense, creating a booming digital economy and ecommerce industrie…
    - 3 days ago 19 Mar 18, 3:07pm -

AirBnB - Nerds

  • Listing Embeddings for Similar Listing Recommendations and Real-time Personalization in Search
    Authors: Mihajlo Grbovic, Haibin Cheng, Qing Zhang, Lynn Yang, Phillippe Siclait and Matt JonesIntroductionAirbnb’s marketplace contains millions of diverse listings which potential guests explore through search results generated from a sophistica…
    - 8 days ago 14 Mar 18, 5:18pm -
  • Fighting Financial Fraud with Targeted Friction
    How Airbnb Battles Chargebacks while Minimizing Impact to Good GuestsOn any given night, nearly two million people are staying in Airbnb listings in 191 countries around the world. The rapid growth of our global community is predicated on one thing:…
    - 43 days ago 7 Feb 18, 5:38pm -
  • Contextual Calendar Reminder: Key to Successful Hosting
    By Tao Cui and Yuting GuMotivationAirbnb’s mission is to create a world where anyone can belong anywhere. So when hosts forget to update their calendars and are booked by guests on dates that don’t work, the host has to cancel the reservation. T…
    - 51 days ago 30 Jan 18, 8:52pm -
  • Measuring Transactional Integrity in Airbnb’s Distributed Payment Ecosystem
    By Ninad Khisti & William BetzIn a distributed payment ecosystem, it is critical to accurately measure and track a transaction’s end to end state and contents to ensure consistency throughout the payment cycle. Without robust tracking, data leakag…
    - 65 days ago 17 Jan 18, 1:15am -
  • Server Rendering, Code Splitting, and Lazy Loading with React Router v4
    Photo by Matt Duncan on Unsplash“Godspeed those who attempt the server-rendered, code-split apps.” — Ryan Florence, Co-Creator of React RouterChallenge accepted.Some Background on Server Rendering at AirbnbHistorically, Airbnb has been a…
    - 72 days ago 9 Jan 18, 9:51pm -

Data Center Knowledge

The Unofficial Google Data Science Blog

  • !Quicker decisions in imperfect mobile experiments
    by DANIEL PERCIVALRandomized experiments are invaluable in making product decisions, including on mobile apps. But what if users don't immediately uptake the new experimental version? What if their uptake rate is not uniform? We'd like to be able to…
    - 57 mins ago 22 Mar 18, 4:32pm -
  • Designing A/B tests in a collaboration network
    by SANGHO YOONIn this article, we discuss an approach to the design of experiments in a network. In particular, we describe a method to prevent potential contamination (or inconsistent treatment exposure) of samples due to network effects. We present…
    - 65 days ago 17 Jan 18, 2:04am -
  • Unintentional data
    by ERIC HOLLINGSWORTHA large part of the data we data scientists are asked to analyze was not collected with any specific analysis in mind, or perhaps any particular purpose at all. This post describes the analytical issues which arise in such a sett…
    - 13 Oct 17, 1:26am -
  • Fitting Bayesian structural time series with the bsts R package
    by STEVEN L. SCOTTTime series data are everywhere, but time series modeling is a fairly specialized area within statistics and data science. This post describes the bsts software package, which makes it easy to fit some fairly sophisticated time ser…
    - 11 Jul 17, 8:55pm -
  • Our quest for robust time series forecasting at scale
    by ERIC TASSONE, FARZAN ROHANIWe were part of a team of data scientists in Search Infrastructure at Google that took on the task of developing robust and automatic large-scale time series forecasting for our organization. In this post, we recount how…
    - 18 Apr 17, 12:02am -

IBM BigData and Analytics Hub

  • !Think 2018: Our favorite highlights from Wednesday
    Think 2018 is in full swing. We’re inspired hearing from leaders across industries using analytics to transform their business. And we’re thrilled to take part in conversations about data science, machine learning, AI and much more. Here are some…
    - 18 hours ago 21 Mar 18, 11:09pm -
  • Today at Think 2018: What you can’t miss Wednesday
    Are you ready for another exciting day of Think 2018? There’s a big day planned for you at the Cloud & Data Campus and we’re here to help you navigate the many exciting sessions. Here are our top analytics picks of the day.
    - 1 day ago 21 Mar 18, 12:58pm -
  • Think 2018: Our favorite highlights from Tuesday
    The excitement, insights and innovation at Think 2018 is truly astounding. Today we heard from IBM Chairman, President and CEO, Ginni Rometty, plus industry leaders and clients who are transforming whole business sectors.
    - 2 days ago 20 Mar 18, 11:17pm -
  • Today at Think 2018: What you can’t miss Tuesday
    The second day of Think 2018 is here, and there’s an abundance of things to see and do at the Cloud & Data Campus. Here are the not-to-miss Think 2018 keynote speeches, demos, panels, training labs and other hands-on activities for Tuesday, March 2…
    - 2 days ago 20 Mar 18, 12:59pm -
  • Machine Learning Everywhere: How IBM has infused machine learning
    Watch to learn how IBM has infused machine learning into customer interactions. Featuring Will Roberts, Data Scientist, IBM and Rakesh Ranjan, Program Director, IBM.
    - 2 days ago 20 Mar 18, 12:21pm -

Predictive Analytics