SmartDataCollective

  • !3 Ways AI and VR Combine with Big Data to Enhance Business
    The goal of every brand is to optimize the customer experience in a way that contributes to more conversions and higher revenue. And while past marketing automation platforms have done a solid job of this, the new technological capabilities provided…
    - 49 mins ago 18 Jan 18, 1:08pm -
  • !How to Collect and Transform Data into Value for Your Business
    The Age of Data is here and it’s more important than ever to take data into account when managing your business. There’s more data available around the world every year and more customers are sharing information about themselves with businesses.…
    - 19 hours ago 17 Jan 18, 6:36pm -
  • Amazon Wants to Use Predictive Analytics to Offer Anticipatory Shipping
    Amazon is no stranger to innovative business strategies. Just consider their “robot workforce,” which automates and improves fulfillment and shipping processes for the retailer, and their autonomous flying delivery drones. It’s no surprise that…
    - 2 days ago 16 Jan 18, 8:11pm -
  • Google Big Data Algorithms Shift Emphasis to Onsite Content
      In 1998, Larry Page and Sergey Brin started Google. At the time, most people expected it would just be another search engine. However, Google found innovative way to use big data, which involved using a tiered, weighted algorithm for tracking inbo…
    - 2 days ago 16 Jan 18, 4:13pm -
  • 4 Data Security Best Practices to Protect Your Personal Data
    Advancements in Internet technology have transformed human lives in wonderful ways. From the way we interact through social media to improving the workplace, technology has brought unprecedented changes in the 21st century that were unthinkable just…
    - 3 days ago 15 Jan 18, 6:45pm -

AirBnB - Nerds

  • 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…
    - 2 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…
    - 9 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…
    - 30 days ago 19 Dec 17, 8:59pm -
  • Building Services at Airbnb, Part 1:
    A Structure for Scaling Service DevelopmentBy Liang Guo, Frank Lin, Junjie GuanAirbnb is moving its infrastructure at an accelerated pace towards a SOA (Service-Oriented Architecture), but moving from a monolithic Rails service towards a SOA while b…
    - 37 days ago 12 Dec 17, 5:46pm -
  • React Performance Fixes on Airbnb Listing Pages
    TL;DR: There may be a lot of low-hanging fruit 🥝 affecting performance in areas you might not track very closely but are still very important.We have been hard at work migrating the airbnb.com core booking flow into a single-page server-rendered a…
    - 42 days ago 7 Dec 17, 5:37pm -

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…
    - 1 day 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…
    - 98 days ago 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

  • Hybrid use cases to dominate machine learning in 2018, part 1
    Big Data and Analytics Hub spoke with IBM Distinguished Engineer John Thomas (@johnjaithomas) about some of the importance of focusing on information architecture to make algorithms meet enterprise needs, as well as how machine learning can most effe…
    - 2 days ago 16 Jan 18, 4:35pm -
  • 4 easy ways to get started with information governance
    Two paradoxes of information technology are: data has no value if you can’t access it, and it’s a liability if the wrong people access it. Company leaders don’t think they need data governance until these paradoxes hit them hard.
    - 2 days ago 16 Jan 18, 4:23pm -
  • Making Data Simple: Machine Learning for Dummies
    Kick off 2018 by exploring machine learning and what it can do for your business. The authors of Machine Learning for Dummies – Judith Hurwitz, and Daniel Kirsch – are here to help you. In this episode, Judith, Daniel and Al discuss the state of…
    - 7 days ago 11 Jan 18, 2:36pm -
  • Get a jump start on real-time analytics and insights
    Unlock the trusted information about your customers with MDM and empower your business analysts to search, explore and match with other data collections with governed freedom.
    - 14 days ago 4 Jan 18, 12:26pm -
  • Data governance is not a sailor’s yarn
    Whether you want to build a bridge, explore the sea, or simply try to identify new markets, you will only be as good as the data you use. This means it must be complete, in context, trusted and easily accessible to drive insights.
    - 16 days ago 2 Jan 18, 8:37pm -

Predictive Analytics