Unit 2: Decision Trees & Artificial Neural Networks
Title: Unit 2 Machine Learning Notes – Decision Trees & Neural Networks (Backpropagation Derivation included)
Description: Master the complex algorithms of Supervised Learning with these high-quality hand written notes. Specifically designed for AKTU and CCSU syllabi, this unit is critical for C.S and I.T engineering students. We break down the derivation of Backpropagation and Decision Tree logic into easy-to-remember steps.
Topics Covered:
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Decision Trees: Learning algorithms, Inductive bias, and tackling overfitting.
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Neural Networks: Perceptrons, Gradient Descent, and the Delta Rule.
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Deep Learning Basics: Adaline, Multilayer Networks, and a full derivation of the Backpropagation Algorithm.