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Electrical Engineering and Computer Science (M-I-T)
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Introduction to Probability (Spring 2018) (M-I-T)
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Part II: Inference & Limit Theorems (M-I-T)
Part II: Inference & Limit Theorems (M-I-T)
(7 Courses Available)
Lecture 14: Introduction to Bayesian Inference (M-I-T)
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Lecture 15: Linear Models With Normal Noise (M-I-T)
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Lecture 16: Least Mean Squares (LMS) Estimation (M-I-T)
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Lecture 17: Linear Least Mean Squares (LLMS) Estimation (M-I-T)
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Lecture 18: Inequalities, Convergence, and the Weak Law of Large Numbers (M-I-T)
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Lecture 19: The Central Limit Theorem (CLT) (M-I-T)
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Lecture 20: An Introduction to Classical Statistics (M-I-T)
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