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Machine Learning Pills

David Andrés, Josep Ferrer, Muhammad Anas

Weekly pill-sized articles on key Machine Learning and AI concepts.

Platform
Substack
PricingOnly paid issues
PublishesWeeklyIssues108
SubscribersRead mlpills.substack.com

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Latest Issues

Recent posts by this newsletter. Browse the email archive.

DIY #12 - SHAP in Action: Making ML Explainable

Have you ever trained a machine learning model and thought, “Okay, it works… but why does it work?” Or maybe you’ve been asked, “Why did the model make this prediction?” and found yourself fumbling for an answer.Well, you’re not alone. Mach...

a month ago
12
2
Paid

Issue #89: Encoding Cyclical Features in Time Series

A key challenge in encoding these features is that the difference between the last and first values in the cycle should be small. However, naive numerical encodings fail to capture this relationship. In this article, we will explore why lin...

a month ago
12
0
Paid

Issue #88 - Introduction to SHAP values

In an era where artificial intelligence powers critical decisions, accuracy alone isn't enough. When a machine learning model recommends a medical treatment or flags a financial transaction as fraudulent, understanding "why" becomes as cruc...

a month ago
22
0
Paid

Issue #87 - Structured Outputs in Language Models

In this article, we'll explore what structured outputs are, how they work, and the different methods for implementing them. We'll also include detailed code explanations, comparisons, and practical insights to help you choose the right meth...

2 months ago
11
0
Paid

Authors

The writers behind this newsletter.

  • David Andrés

    \ud83d\udcbc Data Scientist • \ud83d\udc0d Python enthusiast

  • Josep Ferrer

    Outstand using data -- Data Science, Design and Tech Tech Writer @KDnuggets @DataCamp \ud83d\udc49\ud83c\udffbInquiries in rfeers@gmail.com

  • Muhammad Anas

    random drops multiple times a week to keep you up to date with the field

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