Data Science Weekly Newsletter - Issue 239

Issue #239

June 21 2018

Editor Picks
 
  • AI, Robotics and Your Health
    At the second Science on the Hill event, AI, Robotics and Your Health, experts from academia and the private sector talked with Scientific American Editor in Chief Mariette DiChristina about the future of AI and robotics in medicine...
 
 

A Message from this week's Sponsor:

 

 
Clark University: Transform Data Into Something Meaningful

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 make informed decisions and improve organizational performance.

 
You don’t need a background in statistics or science to succeed here. We offer:
  • Blended curriculum
  • Career-ready courses
  • Affordable excellence
Move your career forward in one of the fields with the largest demand. Learn more at clarku.edu/analytics
 
 

Data Science Articles & Videos


  • Taskonomy: Disentangling Task Transfer Learning
    We proposes a fully computational approach for modeling the structure of space of visual tasks. This is done via finding (first and higher-order) transfer learning dependencies across a dictionary of twenty six 2D, 2.5D, 3D, and semantic tasks in a latent space...
  • Augmented space planning:
    Using procedural generation to automate desk layouts

    We explain @wework's desk layout algorithm in a new paper ... We developed a suite of procedural algorithms for space planning in commercial offices. These algorithms were benchmarked against 13,000 actual offices designed by human architects. The algorithm performed as well as an architect on 77% of offices, and achieved a higher capacity in an additional 6%, all while following a set of space standards...
  • Real-World Reasons To Use GraphQL
    There are a lot of great blog posts that give an overview of GraphQL, or detail why GraphQL is better than REST, but we’re going to talk about why GraphQL worked well for us building a real-world, production app...
 
 
 

Jobs

 
eCommerce Data Science & Machine Learning Analyst - PepsiCo - NYC
Have a strong opinion about Tensorflow lacking an autoregressive dynamic network? So do we!

PepsiCo’s eCommerce 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...

 
 

Training & Resources

 
  • Create TensorFlow Name Scopes For TensorBoard
    Learn how to use TensorFlow Name Scopes (tf.name_scope) to group graph nodes in the TensorBoard web service so that your graph visualization is legible, via a screencast video and full tutorial transcript...
 
 

Books

 

 

Test-Driven Machine Learning

The book begins with an introduction to test-driven machine learning and quantifying model quality. From there, you will test a neural network, predict values with regression, and build upon regression techniques with logistic regression...


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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