The Productive Machine Learning Engineer (Page 2)

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Boruta(SHAP) Does Not Work For The Reason You Think It Does!

Everything you wish you knew about Boruta, and more.

3 May 2022 · 8 min read

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Boruta(SHAP) Does Not Work For The Reason You Think It Does!

featured story

Autoencoders: What Are They, and Why You Should Never Use Them For Pre-Processing

Fundamental limitations you need to be aware of before using autoencoders as pre-processing step in predictive modeling problems on tabular data.

19 Apr 2022 · 14 min read

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Autoencoders: What Are They, and Why You Should Never Use Them For Pre-Processing

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How To Fix PCA To Make It Work For Feature Selection

Introducing Principal Feature Selection (With Code)

8 Apr 2022 · 9 min read

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How To Fix PCA To Make It Work For Feature Selection

                
    Automating Feature Engineering
Effective Feature Selection: Beyond Shapley Values, Recursive Feature Elimination (RFE) and Boruta
            We explain why feature selection matters, why RFE, Boruta, and SHAP values aren't good enough, and we propose an information-theoretical alternative.
        
        Yves-Laurent Kom Samo, PhD
        
    21 Jan 2022
    ·
    12 min read
    
    Automating Feature Engineering
Feature Engineering: Why It Matters, and How To Do It Right
            We explain why every great model needs great features, and we arm you with tools and principles that will help you create better features.
        
        Yves-Laurent Kom Samo, PhD
        
    16 Dec 2021
    ·
    6 min read
    
    Data Valuation
An API for Data Valuation
            The API call you need to make before starting any predictive modeling project.
        
        Yves-Laurent Kom Samo, PhD
        
    18 May 2021
    ·
    9 min read