A Gentle Introduction to SHAP for Tree-Based Models
A Gentle Introduction to SHAP for Tree-Based ModelsImage by Author Introduction Machine learning models have become increasingly sophisticated, but this ...
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AI stirs up the recipe for concrete in MIT study | MIT News
For weeks, the whiteboard in the lab was crowded with scribbles, diagrams, and chemical formulas. A research team across the ...
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Word Embeddings in Language Models
Natural language processing (NLP) has long been a fundamental area in computer science. However, its trajectory changed dramatically with the ...
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Teaching AI models the broad strokes to sketch more like humans do | MIT News
When you’re trying to communicate or understand ideas, words don’t always do the trick. Sometimes the more efficient approach is ...
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3 Questions: How to help students recognize potential bias in their AI datasets | MIT News
Every year, thousands of students take courses that teach them how to deploy artificial intelligence models that can help doctors ...
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10 Python Libraries That Speed Up Model Development
10 Python Libraries That Speed Up Model DevelopmentImage by Editor | Midjourney Machine learning model development often feels like navigating ...
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Tokenizers in Language Models – MachineLearningMastery.com
Tokenization is a crucial preprocessing step in natural language processing (NLP) that converts raw text into tokens that can be ...
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Using Quantized Models with Ollama for Application Development
Using Quantized Models with Ollama for Application DevelopmentImage by Editor Quantization is a frequently used strategy applied to production machine ...
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An anomaly detection framework anyone can use | MIT News
Sarah Alnegheimish’s research interests reside at the intersection of machine learning and systems engineering. Her objective: to make machine learning ...
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Rationale engineering generates a compact new tool for gene therapy | MIT News
Scientists at the McGovern Institute for Brain Research at MIT and the Broad Institute of MIT and Harvard have re-engineered ...
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