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Curated playlists hand-picked by the GDGC AEC team to help you grow your technical skills.

Stanford CS229: Machine Learning
Machine Learning

Stanford CS229: Machine Learning

Andrew Ng · Stanford University

Led by Andrew Ng, this course provides a broad introduction to machine learning and statistical pattern recognition. Topics include supervised learning, generative learning algorithms, neural networks, SVMs, and unsupervised learning.

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Stanford CS230: Deep Learning
Deep Learning

Stanford CS230: Deep Learning

Andrew Ng · Stanford University

Graduate course by Andrew Ng covering Convolutional Networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and practical deep learning engineering.

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Introduction to Soft Computing
Soft Computing

Introduction to Soft Computing

Prof. Debasis Samanta · IIT Kharagpur

NPTEL course by Prof. Debasis Samanta (IIT Kharagpur) covering fuzzy logic, neural networks, genetic algorithms and evolutionary computation for intelligent systems.

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