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.
- Machine Learning Meets Economics
Very interesting article in the same vein as an earlier article mentioned in our newsletter. People are realizing it’s not accuracy, but profit you want from predictive models. Didn’t we say so before? We have been working on this topic for… some… time…
- Anaconda 2.5 Release – now with MKL Optimizations
Continuum anounces the release of Anaconda, which includes the Intel Math Kernal Library (MLK) optimizations amongst its new improvements.
- Analyzing 50k fonts using deep neural networks
Erik Bernhardsson decides to download a huge amount of fonts and analyzes them using neural networks.
- A Fontastic Voyage: Generative Fonts with Adversarial Networks
A follow up post on the above discussing how a technique called “variational autoencoding” can be used to explore font spaces.
- Pixel Recurrent Neural Networks [pdf]
Modeling the distribution of natural images is a landmark problem in unsupervised learning. This task requires an image model that is at once expressive, tractable and scalable. This paper presents a deep neural network that sequentially predicts the pixels in an image along the two spatial dimensions.
- The Rise of the Artificially Intelligent Hedge Fund
Interesting article from Wired about algorithmic hedge fund trading algorithms.
- Machine Learning vs. Quants: The Advantages of Machine Learning in Finance
Staying in the quantative fintech realm, this articles discusses the main differentiating points between engineers and quants.
- How an AI Algorithm Learned to Write Political Speeches
Political speeches are often written for politicians by trusted aides and confidantes. Could an AI algorithm do as well?
- The role of model interpretability in data science
Interesting article discussing the importance of interpretable. Glad we’re not the only ones to highlight this.
- Will Machines Eliminate Us?
People who worry that we’re on course to invent dangerously intelligent machines are misunderstanding the state of computer science.
- How convolutional neural networks see the world
This post takes a look at what deep convolutional neural networks (convnets) really learn, and how they understand the images we feed them.
- Tutorial: Deep Learning
Video lecture from Microsoft Research on deep learning.
- TensorFlow Tutorials
A nice starting package of GitHub hosted TensorFlow tutorials.
- Awesome Machine Learning
A curated list of awesome machine learning frameworks, libraries and software (by language).
A fun one to close with — Megabite is a mobile app that automatically turns a photo of your food into a face. Such a good use of computer vision techniques.