Every two weeks, we find the most interesting data science links from around the web and collect them in Data Science Briefings, the DataMiningApps newsletter. Subscribe now for free if you want to be the first to get up to speed on interesting resources.
- Advanced analytics: Nine insights from the C-suite
Conversations with hundreds of business leaders reveal nine ways that they are—and are not—adapting to the analytics revolution. - An AI that predicts a neighborhood’s wealth from space
Penny is an artificial intelligence that uses satellite imagery to predict income levels in the Big Apple and how they change as you tinker with the urban landscape. - Ethics Should Precede Action in Machine Intelligence
A featured excerpt from The Mathematical Corporation by Josh Sullivan and Angela Zutavern. - General Electric Builds an AI Workforce
As part of its shift toward high-tech businesses, the 125-year-old company is threading artificial intelligence throughout its operations, starting with its scientists. - There’s A Fight Brewing Between The NYPD And Silicon Valley’s Palantir
Big data helped New York’s cops bust Bobby Shmurda. But as the NYPD’s contract with tech giant Palantir comes to an end, things could get messy. - Performance RNN: Generating Music with Expressive Timing and Dynamics
“We present Performance RNN, an LSTM-based recurrent neural network designed to model polyphonic music with expressive timing and dynamics.” - Predictive learning vs. representation learning
An older blog post that showed up on the radar again: “When you take a machine learning class, there’s a good chance it’s divided into a unit on supervised learning and a unit on unsupervised learning. I’d argue that this is deceptive. I think real division in machine learning isn’t between supervised and unsupervised, but what I’ll term predictive learning and representation learning.” - Visidata: A console spreadsheet tool for discovering and arranging data
Visidata is a powerful curses interface for exploring and arranging tabular data. - Dancing Markov Gymnopédies
(Warning: sound.) This is amazing: Piano music represented by simple Markov chains. - The data engineering ecosystem in 2017
“We’ve developed a more interactive version of our Data Engineering Ecosystem Map. This iteration provides a streamlined view of the core components of data pipelines, while enabling deeper exploration of the complex world of distributed system technologies.” - Hugo Larochelle (Google Brain) slides on properties of neural networks we currently don’t understand
Very interesting slide stack. - Blake Aaron Richards slides on deep learning in the brain
Turns out that our brains might be backpropagating after all.
