SmartDataCollective

  • !Big Data, Small Details: How Metadata Creates Security Risks
    What happens when you put a photograph online? In most cases, not much happens at all. It simply exists in cyberspace – permanently – with the trillions of other user-generated images. And the fact is that, besides there being an overwhelming num…
    - 12 hours ago 22 Feb 18, 12:50am -
  • !Mitigating Bias in Machine Learning Datasets
    Human bias is a significant challenge for almost all decision-making models. Over the past decade, data scientists have adamantly argued that AI is the optimal solution to problems caused by human bias. Unfortunately, as machine learning platforms be…
    - 14 hours ago 21 Feb 18, 10:53pm -
  • These Are the Top 5 Most Trusted Data Analytics Firms in 2018
    Big data and analytics platforms have become significant areas of investment for firms representing numerous sectors. However, there are so many that focus on those specialties that it can be difficult for businesses to decide which data analytics co…
    - 3 days ago 19 Feb 18, 8:37pm -
  • How Should Businesses Handle Cyber Security Risk Assessment?
    You don’t have to spend much time evaluating the cyber security landscape to understand that your business, whether small or large, faces a tremendous amount of risk in this environment. But do you know just how much risk? Attention Small Business…
    - 6 days ago 16 Feb 18, 2:03am -
  • Here’s How Your Small Business Can Thrive in a World of AI and Big Data
    It’s no secret that AI and Big Data have become big buzzwords across every industry in recent years. We have been gearing up for the rise of AI through integration of complex, yet user-friendly data analytics tools and platforms. Businesses connect…
    - 7 days ago 15 Feb 18, 11:57pm -

AirBnB - Nerds

  • 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:…
    - 15 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…
    - 23 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…
    - 36 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…
    - 44 days ago 9 Jan 18, 9:51pm -
  • Smart Instant Book Filter: Book with Confidence
    By Yi Hou, Li Fan & Tao CuiIntroductionPeople like it when things are fast. We want our deliveries within an hour, our downloads within a minute, and our news in an instant. That is why we need to help our Airbnb community to book listings they want…
    - 65 days ago 19 Dec 17, 8:59pm -

Data Center Knowledge

The Unofficial Google Data Science Blog

  • 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…
    - 36 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 -
  • Attributing a deep network’s prediction to its input features
    By MUKUND SUNDARARAJAN, ANKUR TALY, QIQI YANEditor's note: Causal inference is central to answering questions in science, engineering and business and hence the topic has received particular attention on this blog. Typically, causal inference in data…
    - 13 Mar 17, 8:54pm -

IBM BigData and Analytics Hub

  • What's in store for a data scientist at Think 2018
    Getting the most from a data science agenda requires more than data scientists. At Think, you’ll learn to view data science as a team sport, involving multiple roles and appropriate tools that help organizations tap into the benefits data science c…
    - 2 days ago 20 Feb 18, 12:13pm -
  • Does your data deserve a private cloud?
    Your business and your data are both unique. For that reason, your enterprise architecture must also be tailored to fit the exact needs of your business. When data is involved, you want choices, not trade offs. And, more importantly, you want your so…
    - 3 days ago 19 Feb 18, 12:12pm -
  • What's in store for a CDO at Think 2018
    When you wake up, the last thing you want to ask yourself is, “What did my data do last night?” CDOs who find themselves asking that question can put a stop to it on March 19. IBM is bringing experts and leaders across data governance and integra…
    - 6 days ago 16 Feb 18, 1:10pm -
  • Making Data Simple: Perspectives on data, a view into Japanese business culture and strategies with Keichii Okada
    Technology trends and growth areas can vary in different parts of the world. In this week's podcast, Keichii Okada, vice president of IBM Tokyo Software & Systems Development Lab, discusses how natural language technology is helping to advance busine…
    - 7 days ago 15 Feb 18, 4:05pm -
  • 3 principles for climbing the AI ladder with IBM Governed Data Lake
    Recently, we capped off the first leg of the “Enabling digital business with an IBM governed data lake” road shows in the Asia Pacific region with our customers and partners.
    - 10 days ago 12 Feb 18, 4:14pm -

Predictive Analytics