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Data Science Weekly Newsletter
October 5, 2017

Editor's Picks

  • What Happens When Algorithms Design a Concert Hall
    The auditorium—the largest of three concert halls in the Elbphilharmonie—is a product of parametric design, a process by which designers use algorithms to develop an object’s form. Algorithms have helped design bridges, motorcycle parts, typefaces—even chairs. In the case of the Elbphilharmonie, Herzog and De Meuron used algorithms to generate a unique shape for each of the 10,000 gypsum fiber acoustic panels that line the auditorium's walls like the interlocking pieces of a giant, undulating puzzle...

A Message From This Week's Sponsor

Big Data LDN 2017

The UK’s largest free to attend Big Data Conference and Exhibition takes place at Olympia London. Big Data LDN will host leading global data and analytics experts, ready to arm you with the tools you need to deliver the most effective data-driven strategy in 5 free to attend conference theatres. The keynote programme is opened by Confluent CTO Neha Narkhede and Cloudera CTO Amr Awadallah. Complimenting the free conference is an exhibition of approx. 80 global technology providers in the big data and analytics space who will be hosting live product demos and will be able to talk to you about your product requirements.
Join the #BigDataRevolution by securing your free ticket to Big Data LDN...

Data Science Articles & Videos

  • How AI Will Keep You Healthy
    An audacious Chinese entrepreneur wants to test your body for everything. But are computers really smart enough to make sense of all that data?...
  • Germany’s election and the trouble with correlation
    Readers of the Financial Times will be familiar with the aphorism that “correlation is not causation”, referring to the fact that a statistical association between two measures cannot be taken as evidence of a causal link. But what about when correlation is not even correlation?...
  • Why I don’t like Jupyter Notebooks
    We’ve had a number of tickets recently asking about running Jupyter Notebooks on Legion/Grace. Until the architecture of the Jupyter Notebook changes this will never be a good/safe idea. This sparked a discussion which descended into an argument between James and myself on the internal Slack about whether it is appropriate to encourage new researchers to use Jupyter notebooks. Because I like having the last word, I’m going to present James’ arguments first...
  • WaveNet launches in the Google Assistant
    Just over a year ago we presented WaveNet, a new deep neural network for generating raw audio waveforms that is capable of producing better and more realistic-sounding speech than existing techniques. At that time, the model was a research prototype and was too computationally intensive to work in consumer products. But over the last 12 months we have worked hard to significantly improve both the speed and quality of our model and today we are proud to announce that an updated version of WaveNet is being used to generate the Google Assistant voices for US English and Japanese across all platforms...
  • College Closure Risk
    College closure can cause significant distress to currently enrolled students as they have to transfer to a new school where their previous credits may not be honored. Given the huge public and private investments into post-secondary education, I developed a model that tries to predict whether a college would close by 2017 from Department of Education data from 2013. During this time, there were several high profile closures of colleges, particularly for-profit private colleges with shady practices...
  • Flood Water Detection ... with A Semi-Supervised U-Net
    This project was started as part of the Metis/DigitalGlobe Data Challenge but, when DigitalGlobe released a substanial dataset of the areas just hit by Hurricane Harvey (through it's Open Data Program) the project quickly evolved into something more immediately relevent, but utilizing a dataset in a less clean state than the SpaceNet dataset I had been planning on working with...


  • Associate Data Scientist / Pricing Analyst - Expedia Inc - Bellevue WA
    The online travel market never stands still. At Expedia Affiliate Network (EAN), we're smack in the middle of it! We are an entrepreneurial start-up operating in the B2B market inside the world's biggest travel company. We create the tools and technology that help millions of travelers find the perfect hotels for their next trips. As the world's largest and fastest-growing affiliate network, we work with over 10,000 partners in 33 countries to turn their web traffic into hotel bookings and satisfied and loyal customers.
    We have the chance to work in the EAN's main global headquarters with the brightest minds in the travel business in an energetic and international work environment focused on innovation, creative problem-solving and collaboration between functional teams.
    We are the revenue optimisation team and we are responsible for identifying and driving significant revenue growth for the organisation. We are searching for an analyst to help us build on the strong growth results we have delivered to date.

Training & Resources

  • Scipy Lecture Notes
    Tutorials on the scientific Python ecosystem: a quick introduction to central tools and techniques. The different chapters each correspond to a 1 to 2 hours course with increasing level of expertise, from beginner to expert...


  • Reproducible Research with R and R Studio
    "a very practical book that teaches good practice in organizing reproducible data analysis and comes with a series of examples..."...
    For a detailed list of books covering Data Science, Machine Learning, AI and associated programming languages check out our resources page...

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