Alexoner/AI-cheat-sheet

cheat sheet for Artificial Intelligence

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This is a comprehensive reference guide designed to help you quickly recall key concepts and formulas in Artificial Intelligence. It provides a concise overview of mathematical formulas, equations, inference methods, and diagrams for various AI topics. Researchers, students, and practitioners in machine learning can use this to quickly reference foundational AI principles.

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Use this if you need a quick and authoritative reference for the mathematical and conceptual foundations of AI, especially if you're working with classic machine learning algorithms.

Not ideal if you are looking for practical coding examples, implementations, or a guide for specific deep learning frameworks.

machine-learning-theory statistical-learning neural-networks pattern-recognition mathematical-modeling
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Language

TeX

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Apache-2.0

Last pushed

Jun 07, 2018

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