MIT OpenCourseWare Intro Probability

MIT RES.6-012 Introduction to Probability, Spring 2018 View the complete course: https://ocw.mit.edu/RES-6-012S18 Instructor: John Tsitsiklis License: Creative Commons BY-NC-SA More information at https://ocw.mit.edu/terms More courses at https://ocw.mit.edu

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17:51

Lecture 1, Part I: Introduction of the Class

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Lecture 1: Predicates, Sets, and Proofs

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Lecture 02: Fundamentals of Probability

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1. Introduction and Probability Review

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Lecture 18: Probability

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Lecture 2: Contradiction and Induction

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Lecture 02: Fundamentals of Probability

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1. Introduction and Probability Review

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Lecture 18: Probability

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L02.1 Lecture Overview

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1. Probability Models and Axioms

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L01.6 More Properties of Probabilities

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L01.10 Interpretations & Uses of Probabilities

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3. Probability Theory

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L01.5 Simple Properties of Probabilities

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Conditional Probability

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L02.7 Total Probability Theorem

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L18.2 The Markov Inequality

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L18.6 Convergence in Probability

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L02.2 Conditional Probabilities

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L25.4 The Probability of a Path

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Lecture 19: Conditional Probability

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1. Introduction to Statistics

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10. Continuous Bayes' Rule; Derived Distributions

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3. Independence

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2. Introduction to Statistics (cont.)

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2: Training Deep NNs (cont.); Introduction to Keras/Tensorflow; …

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Lecture 1: Predicates, Sets, and Proofs

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The Four Fundamental Subspaces and Least Squares

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Introduction to Poker Theory

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6. Discrete Random Variables II

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L02.8 Bayes' Rule

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L05.3 Probability Mass Functions

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L08.1 Lecture Overview

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L01.8 A Continuous Example

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