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The Machine Learning “Advent Calendar” Day 20: Gradient Boosted Linear Regression in Excel
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The Machine Learning “Advent Calendar” Day 21: Gradient Boosted Decision Tree Regressor in Excel
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Stop Retraining Blindly: Use PSI to Build a Smarter Monitoring Pipeline
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Is Your Model Time-Blind? The Case for Cyclical Feature Encoding
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The Machine Learning “Advent Calendar” Day 24: Transformers for Text in Excel
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Keeping Probabilities Honest: The Jacobian Adjustment
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Think Your Python Code Is Slow? Stop Guessing and Start Measuring
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Exploring TabPFN: A Foundation Model Built for Tabular Data
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Overcoming Nonsmoothness and Control Chattering in Nonconvex Optimal Control Problems
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Chunk Size as an Experimental Variable in RAG Systems
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Production-Ready LLMs Made Simple with the NeMo Agent Toolkit
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Off-Beat Careers That Are the Future Of Data
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Drift Detection in Robust Machine Learning Systems
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Ray: Distributed Computing for All, Part 1
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GliNER2: Extracting Structured Information from Text
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Probabilistic Multi-Variant Reasoning: Turning Fluent LLM Answers Into Weighted Options
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HNSW at Scale: Why Your RAG System Gets Worse as the Vector Database Grows
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Retrieval for Time-Series: How Looking Back Improves Forecasts
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Beyond Prompting: The Power of Context Engineering
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