Data Science Weekly - Issue 248
Issue #248 Aug 23 2018
Editor Picks
Models Will Run the World
The software revolution has transformed business. What’s next? Processes that constantly improve themselves without need of human intervention...
Who needs democracy when you have data?
Here’s how China rules using data, AI, and internet surveillance...
Using attentional GANs to generate images from text
Type in a free text box, see your identity appear in art form...
A Message from this week's Sponsor:
Mode Studio: SQL, Python, R, & charts in one platform
No more jumping between applications. Mode Studio is the analytics toolkit that brings everything together, and gets out of the way. Explore data in our SQL editor, and pass results to integrated Python or R notebooks for deeper exploration and visualization. You can also layer charts over results quickly with built-in visualization tools, and sharing is easy—just send the report URL to teammates when you're ready...
Data Science Articles & Videos
What Did Ada Lovelace's Program Actually Do?
So let’s take a closer look at Lovelace’s program. She designed it to calculate the Bernoulli numbers. To understand what those are, we have to go back a couple millennia to the genesis of one of mathematics’ oldest problems...
Really Quick Questions with a Fast.AI Researcher - Rachel Thomas
In this interview, I ask Fast.AI researcher Rachel Thomas 67 questions about machine learning and her day to day life. She was selected by Forbes as one of “20 Incredible Women in AI”, was an early engineer at Uber, and earned her math PhD at Duke...
Exploring Adversarial Reprogramming
Google brain recently published a paper titled Adversarial Reprogramming of Neural Networks which caught my attention. It introduced a new kind of adversarial example for neural networks, those which could actually perform a useful task for the adversary as opposed to just fooling the attacked network. I’m going to walk through the paper in this post, and also add some of my own small modifications to the work they presented in the paper...
New Nvidia gaming chips aim to boost realism of graphics
Nvidia released a new generation of gaming chips that combine its latest “ray tracing” technology and artificial intelligence to give gamers access to more realistic graphics...
How Facebook -- yes, Facebook -- might make MRIs faster
Facebook's artificial intelligence lab is working with New York University's medical school to make MRI exams 10 times faster, which, if successful, would allow radiologists to complete a test in minutes...
Real Talk About Synonyms and Search
When I talk to software engineers and product managers about improving their search engines, the conversation often leads to query expansion, and specifically synonyms. A lot of folks who work on search believe that their biggest problem is not having enough synonyms in their dictionary. Synonyms are useful, but they aren’t a cure-all for search problems...
vid2vid: Pytorch implementation for high-resolution (e.g., 2048x1024) photorealistic video-to-video translation.
First open-source code that lets you create anybody's face convincingly from one source video...
Uncertainty for CTR Prediction: One Model to Clarify Them All
In this post we’ll show you how we at Taboola implemented a neural network that estimates both the probability of an item being relevant to the user, as well as the uncertainty of this prediction...
Jobs
Data Scientist - Riot Games - Los Angeles
Riot Games was established in 2006 by entrepreneurial gamers who believe that player-focused game development can result in great games. In 2009, Riot released its debut title League of Legends to critical and player acclaim. As the most played PC game in the world, over 100 million play every month. Players form the foundation of our community and it’s for them that we continue to evolve and improve the League of Legends experience.
As Data Scientist, you'll develop advanced machine learning algorithms and statistical models to solve critical problems and help deliver awesome player experiences. You'll partner with product teams to implement data science models into live production systems. You'll bring fresh perspective to inform decision-making toward better player experience by translating player voice into insights using your top-notch modeling and analytic skills...
Training & Resources
Stack A List of TensorFlow Tensors Into One Tensor
Learn how to stack a list of TensorFlow Tensors into one Tensor, via a screencast video and full tutorial transcript...
Creating an Artificial Neural Network from Scratch in R
A step-by-step implementation of an artificial neural network for learning purpose...
From GAN to WGAN
This post explains the maths behind a generative adversarial network (GAN) model and why it is hard to be trained. Wasserstein GAN is intended to improve GANs’ training by adopting a smooth metric for measuring the distance between two probability distributions...
Books
The Joy of x: A Guided Tour of Math, from One to Infinity "Delightful . . . easily digestible chapters include plenty of helpful examples and illustrations. You'll never forget the Pythagorean theorem again!"...
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