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Machine Learning Fundamentals
Covers the fundamental concepts of machine learning, including classification, algorithms, optimization, supervised learning, reinforcement learning, and various tasks like image recognition and text generation.
Gradient-Based Algorithms in High-Dimensional Learning
Provides insights on gradient-based algorithms, deep learning mysteries, and the challenges of non-convex problems.