Data Science Weekly Newsletter - Issue 263

Issue #263

Dec 6 2018

Editor Picks
 
  • State of Deep Learning : H2 2018 Review
    Earlier in the year Robert Stojnic and I hacked together Papers With Code as a first step in solving the problem of tracking developments in the field. In this post we summarise some of the key developments in deep learning in the second half of 2018 using the data we have from the site...
  • Not just for bots: The changing career landscape in AI
    There is a growing realization that as AI expands, certain jobs will die out. But on the other side of this (bit) coin, there is an increasingly urgent need for experts to help build AI models, and for domain experts who are strategic and creative enough to envision ways to use AI in their specialty. In fact, the World Economic Forum reports that the fastest growing skill on LinkedIn is AI...
 
 

A Message from this week's Sponsor:

 

 
Move ahead of your peers in the most in-demand field

Business Analytics at Clark University will give you the skills employers demand by teaching you how to synthesize data into powerful information. Whether you enroll in a full- or part-time master’s or accelerated certificate program, you will be equipped to transform data into something meaningful.

You don’t need a background in statistics or science to succeed here. We offer:
  • Blended curriculum
  • Career-ready courses
  • Generous scholarships
Get started. Learn more at clarku.edu/analytics
 
 

 

Data Science Articles & Videos

 
  • Visualizing the Loss Landscape of Neural Nets
    Given a network architecture and its pre-trained parameters, this tool calculates and visualizes the loss surface along random direction(s) near the optimal parameters. The calculation can be done in parallel with multiple GPUs per node, and multiple nodes. The random direction(s) and loss surface values are stored in HDF5 (.h5) files after they are produced...
  • Using AI to identify animals from photos
    Scientists have taught a deep neural network to classify wildlife species using over three million camera images of 27 species of animals taken across different areas of the U.S. The AI was then used to examine animal images and identify the species...
  • AlphaFold: Using AI for scientific discovery
    We’re excited to share DeepMind’s first significant milestone in demonstrating how artificial intelligence research can drive and accelerate new scientific discoveries. With a strongly interdisciplinary approach to our work, DeepMind has brought together experts from the fields of structural biology, physics, and machine learning to apply cutting-edge techniques to predict the 3D structure of a protein based solely on its genetic sequence...
 
 
 

Jobs

  • Quantitative Behavioral Scientist - BetterUp - San Francisco, remote ok

    BetterUp Labs is currently seeking an innovative, early-career quantitative behavioral scientist who is passionate about advancing our understanding of the inner life and whole person performance of professionals around the globe. You will help design and implement original research to learn more about what makes us tick when we’re at work. You’ll need to draw on your budding experience as an experimental social scientist, inferential statistician, computational scientist, and lover of all things Data to uncover the truly groundbreaking answers to these questions...
 

 

Training & Resources

 
  • Use feed_dict To Feed Values To TensorFlow Placeholders
    Learn how to use feed_dict to feed values to TensorFlow placeholders so that you don't run into the error that says you must feed a value for placeholder tensors, via a screencast video and full tutorial transcript...
 

 

Books

 

  • Seven Databases in Seven Weeks:
    A Guide to Modern Databases and the NoSQL Movement


    "A book that tries to cover multiple database is a risky endeavor, a book that also provides hands on on each is even riskier but if implemented well leads to a great package. I loved the specific exercises the authors covered. A must read for all big data architects who don’t shy away from coding..."


    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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