Blog Archives

Request for comments on planned features for futile.logger 1.5

December 15, 2018
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I will be pushing a new version of futile.logger (version 1.5) to CRAN in January. This version introduces a number …Continue reading →

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Preview my new book: Introduction to Reproducible Science in R

November 12, 2018
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I’m pleased to share Part I of my new book “Introduction to Reproducible Science in R“. The purpose of this …Continue reading →

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How to call bullshit on AI companies (aka a short lesson on recall)

April 10, 2018
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How to call bullshit on AI companies (aka a short lesson on recall)

Now that software ate the world, what’s for dessert? Those in the know know that it’s AI. It seems everyone …Continue reading →

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Data-driven unit testing for data scientists and quant developers alike

March 12, 2018
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Often overlooked, testing is a critical process that saves time over the long term and enables building complex systems. Unit …Continue reading →

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Modeling data with functional programming, Part I

April 14, 2017
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Modeling data with functional programming, Part I

The latest draft of my book is available. This will be my last pre-publication update, as I’m in the process …Continue reading →

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What you need to know about data augmentation for machine learning

October 6, 2016
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What you need to know about data augmentation for machine learning

Plentiful high-quality data is the key to great machine learning models. But good data doesn’t grow on trees, and that …Continue reading →

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A simple workflow for deep learning

September 29, 2016
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A simple workflow for deep learning

As a follow-up to my Primer On Universal Function Approximation with Deep Learning, I’ve created a project on Github that …Continue reading →

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A primer on universal function approximation with deep learning (in Torch and R)

September 23, 2016
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A primer on universal function approximation with deep learning (in Torch and R)

Arthur C. Clarke famously stated that “any sufficiently advanced technology is indistinguishable from magic.” No current technology embodies this statement …Continue reading →

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Best practices for logging computational systems in R and Python

July 7, 2016
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Best practices for logging computational systems in R and Python

As is the case with most quant software, it’s a bit different from run-of-the-mill software. The somewhat prosaic world of …Continue reading →

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How to write good tests in R

June 30, 2016
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How to write good tests in R

Testing is an often overlooked yet critical component of any software system. In some ways this is more true of …Continue reading →

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