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Data Science Weekly Newsletter
December 12, 2019

Editor's Picks

  • What we learned from NeurIPS 2019 data
    NeurIPS has quadrupled in the last five years. This year, we had 6,743 submissions after filtering (down to 6,614 at notification time), amounting to more than 20,000 reviews written by more than 4,500 reviewers. The overall acceptance rate this year was 21.6%, corresponding to 1428 accepted papers. Given this overwhelming growth, we decided to take a look at the data and see what we can learn from it...
  • R & Python: A Love Story
    Many Data Science teams today are bilingual, leveraging both R and Python in their work. While both languages have unique strengths, teams frequently struggle to use them together. To help Data Science teams solve these problems, and in line with our ongoing mission to support the open-source data science ecosystem, we’ve made the love story between R and Python a happier one...
  • A new way to make quadratic equations easy
    Many former algebra students have painful memories of struggling to memorize the quadratic formula. A new way to derive it, overlooked for 4,000 years, is so simple it eliminates the need...

A Message From This Week's Sponsor

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Data Science Articles & Videos

  • Predicting Shelter Dog Outcomes
    My goal was to give every single shelter dog a chance to find a home by using Data Science tools to help shelters customize their adoption efforts to maximize their adoptions. By using the methods discussed below, I was able to discern which dogs were less likely to be adopted and measures that can be taken to increase their chances of adoption...
  • 30 Influential AI Presentations from 2019
    We are incredibly grateful to have had the leading minds in AI & Deep Learning present their latest work at our summits in San Francisco, Boston, Montreal and more, so we thought we would share thirty of our highlight videos with you as we think everybody needs to see them!...


Create D3 Data Visualizations As Fast As You Can Sketch

You need to create a D3.js data visualization to communicate your insights. But... #d3BrokeAndMadeArt! This time, your data join appears to have broken and the JavaScript console shows an error you don't recognize. Last time, you got stuck trying to figure out how to make axes that didn't look like 3rd graded made them. It makes you want to strangle D3 with your bare hands. Just how steep does the D3 learning curve need to be?!
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  • Manager, Data Science - JetBlue - Long Island City, NY

    JetBlue is seeking a Data Science Manager to lead a team of data scientists who will design experiments and develop machine learning models to address the company’s most complex data problems. We are looking for an experienced data scientist with broad knowledge of machine learning and statistical techniques. This individual will establish best practices for data science workflows and knows how to create an environment that enables data scientists to perform at their best. Beyond a great culture, the benefits (free flights!) are hard to beat...
        Want to post a job here? Email us for details >>

Training & Resources

  • Visualizing the Geometric and Harmonic Means
    Long after I learned how to calculate the geometric and harmonic means, I was still unclear about what exactly they were doing for me. I ended up clarifying this to myself by generating a series of visualizations which I’ll show you in this post...
  • NeurIPS - Talks & Slides are all online
    Neural Information Processing Systems (NeurIPS) is a multi-track machine learning and computational neuroscience conference that includes invited talks, demonstrations, symposia and oral and poster presentations of refereed papers. All the presented content is available online here...


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