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Data Science Weekly Newsletter
August 9, 2018

Editor's Picks

  • Here's How America Uses Its Land
    There are many statistical measures that show how productive the U.S. is. Its economy is the largest in the world and grew at a rate of 4.1 percent last quarter, its fastest pace since 2014. The unemployment rate is near the lowest mark in a half century. What can be harder to decipher is how Americans use their land to create wealth...

A Message From This Week's Sponsor

  • Mode Studio: SQL, Python, R, & charts in one platform
    No more jumping between applications. Mode Studio is the analytics toolkit that brings everything together, and gets out of the way. Explore data in our SQL editor, and pass results to integrated Python or R notebooks for deeper exploration and visualization. You can also layer charts over results quickly with built-in visualization tools, and sharing is easy—just send the report URL to teammates when you're ready...

Data Science Articles & Videos

  • The Coca-Cola Company using TensorFlow for digital marketing campaigns
    In this episode of TensorFlow Meets, Laurence sits down with Patrick Brandt, who is part of the Marketing Operations team at Coca-Cola North America. Learn about how TensorFlow was used to run one of Coca-Cola's biggest digital marketing campaigns, which involved image classification using deep neural networks for coca-cola bottle caps...
  • LiquidFun
    I ported the LiquidFun wave machine to Observable (and latest three.js)...
  • Machine-Generated Knowledge Bases
    Human-generated knowledge bases like Wikipedia have a recall problem. First, there are the articles that should be there but are entirely missing. The unknown unknowns...
  • An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
    We conduct a systematic evaluation of generic convolutional and recurrent architectures for sequence modeling. The models are evaluated across a broad range of standard tasks that are commonly used to benchmark recurrent networks. Our results indicate that a simple convolutional architecture outperforms canonical recurrent networks such as LSTMs across a diverse range of tasks and datasets, while demonstrating longer effective memory...
  • Urban Nation: The Rise of the American City
    Explores the historic population of America's cities in depth and shows the transition to more urban and suburban areas over time. Of special interest is how the US Census Bureau made adjustments to the definition of "urban area" in the 1950 census to account for suburban growth...


  • Data Scientist - Memorial Sloan Kettering Cancer Center - NYC
    For the 28th year, MSK has been named a top hospital for cancer by U.S. News & World Report. We are proud to be on Becker’s Healthcare list as one of the 150 Great Places to Work in Healthcare in 2018, as well as one of Glassdoor’s Employees’ Choice Best Place to Work for 2018. We’re treating cancer, one patient at a time. Join us and make a difference every day.
    We are seeking a Data Scientist / Senior Strategic Analyst (Ambulatory Care) who will serve as a champion for data-driven decision making within Ambulatory Care, particularly to optimize the use of our outpatient resources, improve the patient experience and ensure MSK’s healthy growth. The candidate will serve as analytic thought partner to the VP and own the strategic roadmap for iteratively developing analytical products and supporting those needs...

Training & Resources

  • AutoKeras: Automated machine learning (AutoML) package
    Auto-Keras is an open source software library for automated machine learning (AutoML). The ultimate goal of AutoML is to allow domain experts with limited data science or machine learning background easily accessible to deep learning models. Auto-Keras provides functions to automatically search for architecture and hyperparameters of deep learning models...


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