بالعربي Into to Machine Learning (ML) - Artificial Neural Network (ANN) as a Study Case

Описание: A lecture giving an introduction to machine learning (ML). It covers the following parts:
-Overview about major tracks involved in ML which are divided into supervised learning, unsupervised learning, and reinforcement learning.
-Linear vs. non-linear problems.
-Explanation of biological neuron.
-Introduction to artificial neural network (ANN) universal function appropriator (weights, bias, learning rate, etc).
-ANN architecture (input, hidden, and output layers).
-Activation functions.
-Step-by-step classification example using ANN (linear and binary).
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أحمد فوزي جاد Ahmed Fawzy Gad
قسم تكنولوجيا المعلومات Information Technology (IT) Department
كلية الحاسبات والمعلومات Faculty of Computers and Information (FCI)
جامعة المنوفية, مصر Menoufia University, Egypt
Teaching Assistant/Demonstrator
[email protected]
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