Risk in Machine Learning Models
06 Sep 2018 Machine Learning models can make actual decisions that affect your business. However, things can go wrong, which introduces risk that must be dealt with.
Read More ›Paper Summary: SMOTE: Synthetic Minority Over-sampling Technique
02 Sep 2018 Summary of the 2002 article "SMOTE: Synthetic Minority Over-sampling Technique" by Chawla et al.
scikit-learn production machine-learning-engineering
Heads-up for Deploying Scikit-learn Models to Production: Quick Checklist
01 Sep 2018 A couple of tips for addressing common problems and unexpected situations when using scikit-learn models in production..
Cross-Validation Examples with Scikit-Learn
01 Sep 2018 Using cross-validation within scikit-learn.
Read More ›Mutate for Pandas Dataframes: Examples with Assign
15 Jul 2018 Assign is a function that mutates a dataframe in place and can be used for chained operations.
Read More ›Pandas Query Examples: SQL-like queries in dataframes
05 Jul 2018 Use SQL-like syntax to perform in-place queries on pandas dataframes.
Read More ›paper-summary multi-label structured-learning hierarchical-learning natural-language-processing
Paper Summary: Multi-Label Classification on Tree- and DAG-Structured Hierarchies
02 Jul 2018 Summary of the 2011 article "Multi-Label Classification on Tree- and DAG-Structured Hierarchies" by Bi and Kwok.
paper-summary natural-language-processing
Paper Summary: The Natural Language Decathlon: Multitask Learning as Question Answering
30 Jun 2018 Summary of the 2018 article "The Natural Language Decathlon: Multitask Learning as Question Answering" by McCann et al.
Example Project Template: Serve a Scikit-learn Model via a Flask API
27 Jun 2018 Full (albeit simple) example on how to create a simple Flask API to serve predictions using a pre-trained scikit-learn model. Includes supporting features such as logging, error handling, input validation, etc. Full code available on Github.
Default Permissions for Users, Directories and Files on Linux: Examples
23 Jun 2018 Set default permissions for all files/directories created by a user on Linux using umask. Additionally, use Access Control Lists (ACLs) for all files and directories created under a given directory too.
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