Data Science Weekly Newsletter - Issue 297

Issue #297

Aug 1 2019

Editor Picks
   
 

A Message from this week's Sponsor:

 

 
A Data Science Playbook for Explainable ML/AI

Model ethics, interpretability, and trust will be seminal issues in data science in the coming decade. This technical webinar discusses traditional and modern approaches for interpreting black box models. Additionally, we will review cutting edge research coming out of UCSF, CMU, and industry. This new research reveals holes in traditional approaches like SHAP and LIME when applied to some deep net architectures and introduces a new approach to xML/xAI where interpretability is a hyperparameter in the model building phase rather than a post-modeling exercise. We will provide step-by-step guides that practitioners can use in their work to navigate this interesting space.

We will review code examples of interpretability techniques. You can follow along with the presentation by running your own notebook hosted in Domino's trial environment. Create a free trial account here.

We hope to see you there! Register to attend, or to receive the webinar materials here.

 
 

Data Science Articles & Videos

 
  • New Google Technique Helps Understand How Neural Networks are Thinking
    While its relatively simple to create incredibly advanced deep neural network models, its understanding how those models create and use knowledge remains a challenge. Recently, researchers from the Google Brain team published a paper proposing a new method called Concept Activation Vectors(CAVs) that takes a new angle to the interpretability of deep learning models...
  • Cyclical Learning Rates with Keras and Deep Learning
    In this tutorial, you will learn how to use Cyclical Learning Rates (CLR) and Keras to train your own neural networks. Using Cyclical Learning Rates you can dramatically reduce the number of experiments required to tune and find an optimal learning rate for your model...
  • Building our [Stitchfix] Centralized Experimental Platform
    Running an A/B test is easy. Screwing up an A/B test is even easier. Are you sure your new feature is working as expected? Is your randomization strategy correlated with something it shouldn’t be? Do you have a proper control group for comparisons?...

 

Event*

 

 
Hear data scientists from Airbnb, Hautelook, Target at ACTIVATE,
the Search & AI Conference


Attend the Activate Conference and learn how to deliver hyper-personalized experiences in real-time with AI-powered search, September 9-12, 2019 in Washington DC. Hear expert-led sessions from Foot Locker, Hautelook, lululemon, StubHub, Target, Uber & Wayfair. See how industry leaders in search, AI, data science, analytics, and UX are using innovative technologies to deliver tailored digital experiences in e-commerce and the digital workplace. Register by August 9 to save $400 and save an additional 20% with code DSW20.


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

 

Jobs

 
  • Data Scientist, Forecasting - Spotify - NYC

    We seek an exceptional Data Scientist to join our Forecasting team in New York. This individual will contribute to the development of cutting-edge models to predict Spotify’s future user growth and content consumption. The output of your models will serve as the basis for the company’s financial forecast as well as provide context for business performance to both internal and external stakeholders. Your work will also help the team create a time series forecasting infrastructure that can be leveraged throughout the company. Above all, you will be at the nexus of data science and business at one of the most innovative companies in the world...

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

 

Training & Resources

  • How to Implement Pix2Pix GAN Models From Scratch With Keras
    The Pix2Pix GAN is a generator model for performing image-to-image translation trained on paired examples. For example, the model can be used to translate images of daytime to nighttime, or from sketches of products like shoes to photographs of products. In this tutorial, you will discover how to implement the Pix2Pix GAN architecture from scratch using the Keras deep learning framework....
 
 

Books

 

  • 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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