Lectures related to Deep Learning: Data, Models, and Challenges

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Explores neural network training, optimization, and environmental considerations, with insights into PCA and K-means clustering.

Explores challenges and solutions in analyzing big multi-dimensional data, focusing on complex data types and anomaly detection.