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Data Science Weekly Newsletter
August 15, 2019

Editor's Picks

  • I wasn’t getting hired as a Data Scientist. So I sought data on who is.
    Instead of focusing on skills thought to be required of data scientists, we can look at what they have actually done before...I had conflated the practice of data science with the strategy to become part of it. To my surprise, these turned out not to be the same thing. Like most novices, I was putting together information from a haphazard mix of blog posts, the requirements section of data science job postings, and hearsay from people in the field. The skills-heavy focus of these sources, not to mention the castigating and often moralizing tone that data scientists can and should learn a whole bunch of things, can ironically entrap beginners in a never-ending cycle of chasing after the latest skills, when perhaps the most efficient strategy would be to quickly land an adjacent data-related position first and then learn the skills on the job...

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Data Science Articles & Videos

  • AI Algorithms Need FDA-Style Drug Trials
    Opinion: Algorithms cause permanent side effects on society. They need clinical tests...Imagine a couple of caffeine-addled biochemistry majors late at night in their dorm kitchen cooking up a new medicine that proves remarkably effective at soothing colds but inadvertently causes permanent behavioral changes. Those who ingest it become radically politicized and shout uncontrollably in casual conversation. Still, the concoction sells to billions of people. This sounds preposterous, because the FDA would never let such a drug reach the market...
  • The Logic of Risk Taking
    Imagine that your cousin Theodorus goes to the Casino 100 days in a row, starting with a set amount. On day 28 cousin Theodorus is bust. Will there be day 29? "Black Swan" author explains Deep flaw in the Logic of Risk Taking...
  • MineRL: Towards AI in Minecraft
    Welcome to MineRL. We want to solve Minecraft using state-of-the-art Machine Learning! To do so, we have created one of the largest imitation learning datasets with over 60 million frames of recorded human player data. Our dataset includes a set of tasks which highlights many of the hardest problems in modern-day Reinforcement Learning: sparse rewards and hierarchical policies...
  • VisualBERT: A Simple and Performant Baseline for Vision and Language
    We propose VisualBERT, a simple and flexible framework for modeling a broad range of vision-and-language tasks. VisualBERT consists of a stack of Transformer layers that implicitly align elements of an input text and regions in an associated input image with self-attention. We further propose two visually-grounded language model objectives for pre-training VisualBERT on image caption data...
  • How Much Do Data Scientists Make? - An Exploration of H1B Salary Data
    If the market for data scientists is so hot, then just how much exactly are they being paid?...I got my salary data from this awesome website that indexes the Labor Condition Application (LCA) data from the Department of Labor (DOL). Basically, when a company intends to hire an employee that requires H1B visa sponsorship, they need to file a LCA with the DOL prior to filing a H1B visa petition. This LCA contains company, salary, and job title data that is publicly available to all...


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  • Data Scientist - PepsiCo - NYC

    PepsiCo’s Data Science and Analytics group is a team of data scientists, technology specialists, and business innovators who operate within eCommerce to build industry-leading systems and solutions. By focusing on machine learning and automation, the Data Science & Analytics group is pushing the bounds of possibility for PepsiCo and its strategic partners...
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Training & Resources

  • When BERT meets Pytorch - A walkthrough of using BERT with pytorch for a multilabel classification use-case
    It’s almost been a year since the Natural Language Processing (NLP) community had its pivotal ImageNet moment. Pre-trained Language models have now begun to play exceedingly important roles in NLP pipelines for multifarious downstream tasks, especially when there’s a scarcity of training data. They can encode general aspects and semantics of text into dense vector representations that are universally useful...In this post, we focus on Bidirectional Encoder Representations from Transformers (BERT), a general purpose language representation model open-sourced by Google in November 2018. We won’t be going into the finer details of the BERT architecture, since we’re primarily concerned with integrating BERT into custom pytorch model pipelines...


  • Python Crash Course: A Hands-On, Project-Based Introduction to Programming Thorough introduction to programming with Python...
    "I have read multiple beginner guides to Python. I am currently up to chapter 11 in Python Crash Course. So far this is far and away my favorite Python programming book..."...
    For a detailed list of books covering Data Science, Machine Learning, AI and associated programming languages check out our resources page
    P.S., Enjoy the newsletter? Please forward it to your friends and colleagues - we'd love to have them onboard :) All the best, Hannah & Sebastian

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