explained.ai
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About
explained.ai provides in-depth explanations and resources on machine learning and deep learning topics, curated by Terence Parr, a former data science professor and Google tech lead. The platform features a collection of articles clarifying complex concepts like tensor operations, RNNs, regularization, decision tree visualization, and gradient boosting. It also includes academic papers, a book-in-progress on machine learning mechanics, and several open-source Python libraries such as dtreeviz for decision tree visualization, rfpimp for permutation importance, and lolviz for data structure visualization. Additionally, explained.ai offers videos, including deep learning crash courses and talks on presenting technical subjects. The content focuses on simplifying complex ML concepts and providing practical implementations.
Platform
Features
• deep explanations of machine learning topics
• educational videos and academic papers
• python libraries (dtreeviz, rfpimp, lolviz, autodx)
• random forest importance explanation and rfpimp library
• matrix calculus for deep learning
• gradient boosting explanations
• visualization tools for decision trees (dtreeviz)
• articles on tensor operations, rnns, regularization
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