Data Science Weekly Newsletter - Issue 280

Issue #280

Apr 4 2019

Editor Picks
   
 

A Message from this week's Sponsor:

 

 
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Data Science Articles & Videos

 
  • Personalized Recommendations for Experiences Using Deep Learning
    As the world’s largest travel site, TripAdvisor provides a platform for billions of users to research, book, and review their trips across the world. In this blog post, we will explain how our newly-developed ‘Recommended For You’ (RFY) model generates personalized recommendations on our website using users’ browsing history and deep learning. The model has already been tested in production and demonstrated lifts in user engagement and bookings...
  • Combining online and offline tests to improve News Feed ranking
    A/B testing is an important part of the product improvement cycle for machine learning (ML) technologies. But applying advanced techniques such as Bayesian optimization to optimize these systems can be challenging due to resource limitations. We propose a new multitask Bayesian optimization approach that combines observations from online A/B tests with a simple offline simulator. This model allows for jointly optimizing up to 20 parameters with as few as 40 total online A/B tests...
  • Neural Machine Translation With Attention Mechanism
    Hello guys, spring has come and I guess you’re all feeling good. Today, let’s join me in the journey of creating a neural machine translation model with attention mechanism by using the hottest-on-the-news Tensorflow 2.0...
  • Diagnosing and Enhancing VAE Models
    Although variational autoencoders (VAEs) represent a widely influential deep generative model, many aspects of the underlying energy function remain poorly understood. In particular, it is commonly believed that Gaussian encoder/decoder assumptions reduce the effectiveness of VAEs in generating realistic samples. In this regard, we rigorously analyze the VAE objective, differentiating situations where this belief is and is not actually true. We then leverage the corresponding insights to develop a simple VAE enhancement that requires no additional hyperparameters or sensitive tuning...
 
 

White Paper

 

 
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Want to post here? Email us for details >> team@datascienceweekly.org
 
 

Jobs

 
  • Data Scientist (Analytics) - Pear Therapeutics - San Francisco or Boston

    At Pear Therapeutics, we have the privilege of building the world’s first-ever class of prescription digital therapeutics. By nature of our therapeutics as digital applications, we have access to rich datasets and unique opportunities to drive clinical outcomes. As a Data Scientist, you will be responsible for shaping and delivering data-driven insights. We are looking for data scientists with a deep product sense, who have an innate curiosity, and are eager to dive into large, complex datasets and create actionable insights...

        Want to post a job here? Email us for details >> team@datascienceweekly.org
 

 

Training & Resources

   
 

Books

 

  • 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.
     

     
    P.S., Want to reach our audience / fellow readers? Consider sponsoring - grab a spot now; first come first served! All the best, Hannah & Sebastian
 
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