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| <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd"> | |
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| <title>MLM Weekly Digest</title> | |
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| <font style="color:#808080; font-size:15px;">December 12, 2025</font> | |
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| <h2 style="font-size:22px; font-weight:bold; color:#36454F; margin-bottom:5px;">Editor's Pick</h2> | |
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| <a href="https://machinelearningmastery.com/top-5-agentic-ai-llm-models" style="display:block; font-size:18px; line-height:150%; color:#36454F; text-decoration:none; font-weight:bold;"> | |
| Top 5 Agentic AI LLM Models | |
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| <p style="font-size:14px; line-height:150%; margin:0; padding-left:2px; color:#808080;"> | |
| Kanwal Mehreen | |
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| How AI Cuts Costs and Adds Value for Data Science Workflows (Sponsored) | |
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| MLM Team | |
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| <h2 style="font-size:22px; font-weight:bold; color:#36454F; margin-bottom:5px;">Recent Articles</h2> | |
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| 3 Subtle Ways Data Leakage Can Ruin Your Models (and How to Prevent It) | |
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| Iván Palomares Carrascosa | |
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| 3 Feature Engineering Techniques for Unstructured Text Data | |
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| The Complete Guide to Using Pydantic for Validating LLM Outputs | |
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| Creating a Llama or GPT Model for Next-Token Prediction | |
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| Prompt Engineering for Outlier Detection | |
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| 7 Steps to Mastering Agentic AI | |
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| <h2 style="font-size:22px; font-weight:bold; color:#36454F; margin-bottom:5px;">Worth A Thousand Words</h2> | |
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| <a href="https://machinelearningmastery.com/3-feature-engineering-techniques-for-unstructured-text-data/"> | |
| <img src="https://machinelearningmastery.com/wp-content/uploads/2025/12/mlm-olumide-3-feature-engineering-techniques-unstructured-data.png" style="border-radius: 8px;" width="100%" /> | |
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| <center><p style="font-size:14px; line-height:150%; margin:0; padding-left:2px; color:#808080;"> | |
| From <a href="https://machinelearningmastery.com/3-feature-engineering-techniques-for-unstructured-text-data/" style="font-size:14px; line-height:150%; color:#36454F; text-decoration:none; font-weight:bold;">3 Feature Engineering Techniques for Unstructured Text Data</a> | |
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