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Foundations

Math, statistics, and programming fundamentals

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Linear Algebra

Master vectors, matrices, and transformations that form the mathematical backbone of machine learning

🔬 ML📊 Data🤖 LLM
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Calculus & Optimization

Learn differentiation, gradients, and optimization techniques essential for training neural networks

🔬 ML📊 Data🤖 LLM
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Probability & Statistics

Master probabilistic thinking and statistical inference for understanding ML models

🔬 ML📊 Data🤖 LLM