High performance tensor library in Nim

Toward a (smoking !) high performance tensor library in Nim Forewords In April I started Arraymancer, yet another tensor library™, in yet another language™, Nim. Why you ask? I wanted to have fun. When I’m bored, I like to learn

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Predicting apartment interest from listing with structured data, free text, geolocalization, time data and images

3 months ago, Data Science competition website Kaggle published a challenge from Two Sigma, an investment fund, and Renthop, a startup they invested in. The goal was to predict interest in New York apartments listed on Renthop’s website using a

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Why Rust fails hard at scientific computing

1.5 years ago I started a computer go bot in Rust based on Monte Carlo Tree Search (MCTS). MCTS is at the heart of all strong go programs, and many AI for various games and real world competitions like RoboCup Soccer. Yes, even

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Data Science Bowl 2017 – Space-Time tricks

Here we are again for the third post on my journey to Deep Learning. Like all super-heroes, the data scientist sometimes need to call upon greater power to solve the issue at hands. Predicting lung cancer for the Data Science

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Journey to Deep Learning #2: Don’t fight the wrong fights

2 months ago, I took my courage and threw it at Machine Learning. Machine Learning, at least the supervised learning, is the art of training a black box (a young panda) by telling it what you expect. When it’s properly

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Journey to Deep Learning: Cuda GPU passthrough to a LXC container

A tutorial on how to passthrough a Nvidia GPU to a LXC container in Proxmox.

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