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Basic math · Basic deep learning · Basic machine learning
From functions, vectors, and matrices to uniform and normal distributions. Build the foundations for understanding AI.
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Basic deep learning: 12 chapters from dot product to gradient—concepts, problems, and instant grading.
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From data and features to KNN, linear and logistic regression, and recommendation systems. Learn basic machine learning chapter by chapter.
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