explained.ai
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About
explained.ai offers in-depth explanations of machine learning concepts and practices through articles and resources, authored by Terence Parr, a tech lead at Google and former professor of data science. The site features tutorials on various topics including tensor operations in deep learning, recurrent neural networks without neural networks, visualizing decision trees, and more. Additionally, it includes resources like the dtreeviz library for decision tree visualization and the rfpimp package for feature importance in Python. It's a valuable resource for understanding complex machine learning topics in an approachable manner.
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Features
• accessible explanations for practitioners
• tutorials on deep learning and linear models
• python libraries for decision making and visualization
• visualizations for complex concepts
• in-depth articles on machine learning
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