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README.md

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-# Disertation
+# Disertation
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+Machine learning is turning things(data) [images, text, tabels of numbers, video, audio, etc] into numbers and finding patterns in those numbers.
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+Finding patterns is the computer (algorithm) job
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+Algorithm = code that executes math
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+AI(ML(DL))
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+
+Noraml programming:
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+Inputs + Rules = Output
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+ML Programming:
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+Supervised learning (figure out the relationship between input/output)
+Inputs + Outputs = Rules
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+ML Scope is to find out the rules (relationship betewwwn input/output)
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+ML good for structured data!
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+Great Algorithm for ML(strucured data) -> Gradient Boosted Machine (XGBoost)
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+Turning patterns into numbers