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Res.6-012 Introduction to Probability (Spring 2018, MIT OCW). Instructors: Prof. John Tsitsiklis and Prof. Patrick Jaillet.
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Description
The tools of probability theory, and of the related field of statistical inference, are the keys for being able to analyze and make sense of data. These tools underlie important advances in many fields, from the basic sciences to engineering and management. This resource is a companion site to 6.041SC Probabilistic Systems Analysis and Applied Probability. (from ocw.mit.edu)
Course content
- Lecture 01.1 – Overview Unlimited
- Lecture 01.2 – Sample Space Unlimited
- Lecture 01.3 – Sample Space Examples Unlimited
- Lecture 01.4 – Probability Axioms Unlimited
- Lecture 01.5 – Simple Properties of Probabilities Unlimited
- Lecture 01.6 – More Properties of Probabilities Unlimited
- Lecture 01.7 – A Discrete Example Unlimited
- Lecture 01.8 – A Continuous Example Unlimited
- Lecture 01.9 – Countable Additivity Unlimited
- Lecture 01.10 – Interpretations and Uses of Probabilities Unlimited
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- Lecture 01.1 – Overview Unlimited
- Lecture s01.0 – Overview Unlimited
- Lecture 02.1 – Overview Unlimited
- Lecture 03.1 – Overview Unlimited
- Lecture 04.1 – Overview Unlimited
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- Lecture 14.1 – Overview Unlimited
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- Lecture 24.1 – Overview Unlimited
- Lecture 25.1 – Brief Introduction Unlimited
- Lecture 26.1 – Brief Introduction Unlimited
Instructor
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