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.
- Google’s Anti-Bullying AI Mistakes Civility for Decency
The culture of online civility is harming us all.
- Elon Musk leads 116 experts calling for outright ban on killer robots
Open letter signed by Tesla chief and Google’s Mustafa Suleyman urges UN to block use of lethal autonomous weapons to prevent third age of war.
- Inside the Increasingly Complex Algorithms That Get Packages to Your Door
Working out the best way to deliver parcels is a near-impossible job, and it’s only getting harder.
- An AI Dreamed Up Street Scenes, and They’re Surprisingly Good
Qifeng Chen, from Stanford University and Intel, got a neural net to render new street scenes.
- China’s Plan for World Domination in AI Isn’t So Crazy After All
China has a key AI ingredient: a vast well of government data.
- Why Everyone Is Hating on IBM Watson—Including the People Who Helped Make It
“Their marketing and PR has run amok—to everyone’s detriment.”
- PyGraphistry is library to extract, transform, and visually explore big graphs
PyGraphistry is a visual graph analytics library to extract, transform, and load big graphs into Graphistry’s cloud-based graph explorer.
- Proudly Releasing: Efficient Graph Algorithms in Neo4j
“We developed this library as part of our effort to make it easier to use Neo4j for a wider variety of applications. Many users expressed interest in running graph algorithms directly on Neo4j without having to employ a secondary system.”
- YouTube AI deletes war crime videos as ‘extremist material’
Monitoring group and Syrian opposition videos and accounts have been removed for violating YouTube’s guidelines
- Captioning Novel Objects in Images
Current visual description or image captioning models work quite well, but they can only describe objects seen in existing image captioning training datasets, and they require a large number of training examples to generate good captions.
- Hype or Not? Some Perspective on OpenAI’s DotA 2 Bot
“So far no researchers have managed to make significant breakthroughs. It is thought that we are at least 1-2 years away from beating good human players at Starcraft 2. That’s why the OpenAI news came as such a shock. How can this be true?”
- Thoughts after taking the Deeplearning.ai courses
“The fast AI course mainly teaches you the art of driving while Andrew’s course primarily teaches you the engineering behind the car.”
re-educating people who learned R before it was cool
- R interface to Keras
Keras is a high-level neural networks API developed with a focus on enabling fast experimentation. This website provides documentation for the R interface to Keras.
- Machine Learning for Humans
Simple, plain-English explanations accompanied by math, code, and real-world examples.
- Autoregressive Convolutional Neural Networks for Asynchronous Time Series (paper)
“We propose Significance-Offset Convolutional Neural Network, a deep convolutional network architecture for regression of multivariate asynchronous time series. The model is inspired by standard autoregressive (AR) models and gating mechanisms used in recurrent neural networks.”
- How I Used Deep Learning To Train A Chatbot To Talk Like Me (Sorta)
… using a Seq2Seq model.
- Tableau acquires ClearGraph, a startup that lets you analyze your data using natural language
Business intelligence and analytics firm Tableau today announced that it has acquired ClearGraph, a service that lets you query and visualize large amounts of business date through natural language queries (think “this week’s transactions over $500”).
- The 3 stages of data science
Dashboards, Machine Learning, Action.