Data Science Weekly Newsletter - Issue 315

Issue #315

Dec 5 2019

Editor Picks
 
  • Can AI Help Us Identify Animals?
    New technology has revolutionized how we study wild animals, but it has also bogged down scientists with data...luckily, there's an *intelligent* solution...
 
 

A Message from this week's Sponsor:

 

 
See how top BI platforms compare

This month, Mode was named a leader in BI and analytics by G2 Crowd. G2 aggregated customer reviews for all the top BI platforms. See which companies do best in ease of setup, ease of admin, future direction, and more.

Download the Report here.
 

 

Data Science Articles & Videos


  • Keras inventor Chollet charts a new direction for AI: a Q&A
    Google scientist François Chollet has made a lasting contribution to AI in the wildly popular Keras application programming interface. He now hopes to move the field toward a new approach to intelligence. He talked with ZDNet about what he hopes to accomplish...
  • DeepHuman: 3D Human Reconstruction from a Single Image
    We propose DeepHuman, a deep learning based framework for 3D human reconstruction from a single RGB image. Since this problem is highly intractable, we adopt a stage-wise, coarse-to-fine method consisting of three steps, namely inner body estimation, outer surface reconstruction and frontal surface detail refinement...
  • Understanding the generalization of ‘lottery tickets’ in neural networks
    New research from Facebook AI finds the first definitive evidence that lottery tickets generalize across related, but distinct datasets and can extend to reinforcement learning (RL) and natural language processing (NLP). We’re sharing details on the results of our experiments using winning tickets, and we’re also introducing a new theoretical framework on the formation of lottery tickets to help researchers advance toward a better understanding of lucky initializations...
  • Procgen Benchmark
    We’re releasing Procgen Benchmark, 16 simple-to-use procedurally-generated environments which provide a direct measure of how quickly a reinforcement learning agent learns generalizable skills...
 
 

Training*

 

 
Create D3 Data Visualizations As Fast As You Can Sketch

You need to create a D3.js data visualization to communicate your insights. But... #d3BrokeAndMadeArt! This time, your data join appears to have broken and the JavaScript console shows an error you don't recognize. Last time, you got stuck trying to figure out how to make axes that didn't look like 3rd graded made them. It makes you want to strangle D3 with your bare hands. Just how steep does the D3 learning curve need to be?!

What if you could learn and master D3 quickly and deeply?

Great news! - You can ... Check out DashingD3js.com Screencasts today!

*Sponsored post. If you want to be featured here, or as our main sponsor, contact us!

 

 

Jobs

  • Data Scientist - Driven Brands - Charlotte, NC

    The Data Scientist for Driven Brands focus will be responsible for providing reliable marketing, media and promotional performance analysis and reporting to Senior Executives and Business Unit Management to be used to make decisions impacting the performance of the business...

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

 

Training & Resources

  • Deep Learning with DNN Compiler
    This article shows how to use DNNC to compile a machine learning model on a microcontroller or microcomputer worth ranging from 10¢ to $5...
 
 

Books

 

  • Data Visualization with Python and JavaScript:
    Scrape, Clean, Explore & Transform Your Data

    Learn how to turn raw data into rich, interactive web visualizations with the powerful combination of Python and JavaScript. With this hands-on guide, author Kyran Dale teaches you how build a basic dataviz toolchain with best-of-breed Python and JavaScript libraries—including Scrapy, Matplotlib, Pandas, Flask, and D3—for crafting engaging, browser-based visualizations...

    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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