paper-summary machine-learning

Paper Summary: The Tradeoffs of Large Scale Learning

15 Dec 2018   Summary of the 2007 article "The Tradeoffs of Large Scale Learning" by Bottou and Bousquet.

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presto datetime date athena

Presto/Athena Examples: Date and Datetime functions

10 Dec 2018   Functions for handling dates and datetimes in Presto and/or AWS Athena.

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pandas dataframes

Pandas Dataframe Examples: Column Operations

09 Dec 2018   Examples on how to modify pandas DataFrame columns, append columns to dataframes and otherwise transform individual columns.

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Numpy Array (ndarray) Examples

08 Dec 2018   Numpy Array-like data structures (ndarrays) are the bread and butter of a lot of data work done these days.

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Quick Summary + Thoughts on BigHead: AirBNB's ML Platform

03 Dec 2018   Notes on AirBNB's Bighead ML platform, based off videos and presentations.

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glue athena

AWS Glue: Introduction, Examples and Troubleshooting

01 Dec 2018   Introduction, examples and troubleshooting tips for using AWS Glue.

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Thoughts on Michelangelo: Uber's Machine Learning Platform

20 Nov 2018   Reading and dissecting the way Uber does Machine Learning.

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Python 3 Subprocess Examples

03 Nov 2018   Examples on how to spawn and control OS-level processes from a python script, using the new Subprocess module.

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paper-summary machine-learning

Paper Summary: Statistical Modeling: The Two Cultures

02 Nov 2018   Summary of the 2001 article "Statistical Modeling: The Two Cultures" by Leo Breiman.

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