paper-summary multi-label-learning structured-learning
Paper Summary: Large Margin Methods for Structured and Interdependent Output Variables
24 Jan 2019 Summary of the 2005 article "Large Margin Methods for Structured and Interdependent Output Variables" by Tsochantaridis et al.
Pandas Dataframe Examples: Manipulating Date and Time
15 Jan 2019 Some examples on how to manipulate dates and times in pandas Dataframes, perform date arithmetic, etc.
Read More ›Recommender Systems: Introduction and Examples
06 Jan 2019 Quick introduction to recommender systems, use cases and main types.
Read More ›Git remote examples: Interacting with Github and other External Repos
18 Dec 2018 Examples on how to perform some common git tasks related to interacting with remotes
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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.
Presto/Athena Examples: Date and Datetime functions
10 Dec 2018 Functions for handling dates and datetimes in Presto and/or AWS Athena.
Read More ›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.
Read More ›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.
Read More ›Quick Summary + Thoughts on BigHead: AirBNB's ML Platform
03 Dec 2018 Notes on AirBNB's Bighead ML platform, based off videos and presentations.
Read More ›AWS Glue: Introduction, Examples and Troubleshooting
01 Dec 2018 Introduction, examples and troubleshooting tips for using AWS Glue.
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