Study Topics
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🧮
Foundations
Math, statistics, and programming fundamentals
📐
Linear Algebra
Master vectors, matrices, and transformations that form the mathematical backbone of machine learning
🔬 ML📊 Data🤖 LLM
∂
Calculus & Optimization
Learn differentiation, gradients, and optimization techniques essential for training neural networks
🔬 ML📊 Data🤖 LLM
📊
Probability & Statistics
Master probabilistic thinking and statistical inference for understanding ML models
🔬 ML📊 Data🤖 LLM