Machine Learning Pills
David Andrés, Josep Ferrer, Muhammad AnasWeekly pill-sized articles on key Machine Learning and AI concepts.
| Platform |  | Pricing | Only paid issues |
|---|---|---|---|
| Publishes | Weekly | Issues | 108 |
| Subscribers | Read | 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...
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...
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...
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...
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Authors
The writers behind this newsletter.
\ud83d\udcbc Data Scientist • \ud83d\udc0d Python enthusiast
Outstand using data -- Data Science, Design and Tech Tech Writer @KDnuggets @DataCamp \ud83d\udc49\ud83c\udffbInquiries in rfeers@gmail.com
random drops multiple times a week to keep you up to date with the field
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