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--- title: "CS 109: Probability for Computer Scientists" type: course-overview source-count: 25 status: active confidence: high --- # CS 109: Probability for Computer Scientists Stanford course with 25 lecture notes. ## Lecture Timeline - **2023-09-27** — [SU-CS109 SEP272023](../raw/course/cs109/kbhsu_cs109_sep272023.md) - **2023-09-29** — [SU-CS109 SEP292023](../raw/course/cs109/kbhsu_cs109_sep292023.md) - **2023-10-02** — [SU-CS109 OCT022023](../raw/course/cs109/kbhsu_cs109_oct022023.md) - **2023-10-04** — [SU-CS109 OCT042023](../raw/course/cs109/kbhsu_cs109_oct042023.md) - **2023-10-06** — [SU-CS109 OCT062023](../raw/course/cs109/kbhsu_cs109_oct062023.md) - **2023-10-09** — [SU-CS109 OCT092023](../raw/course/cs109/kbhsu_cs109_oct092023.md) - **2023-10-11** — [SU-CS109 OCT112023](../raw/course/cs109/kbhsu_cs109_oct112023.md) - **2023-10-16** — [SU-CS109 OCT162023](../raw/course/cs109/kbhsu_cs109_oct162023.md) - **2023-10-18** — [SU-CS109 OCT182023](../raw/course/cs109/kbhsu_cs109_oct182023.md) - **2023-10-20** — [SU-CS109 OCT202023](../raw/course/cs109/kbhsu_cs109_oct202023.md) - **2023-10-23** — [SU-CS109 OCT232023](../raw/course/cs109/kbhsu_cs109_oct232023.md) - **2023-10-25** — [SU-CS109 OCT252023](../raw/course/cs109/kbhsu_cs109_oct252023.md) - **2023-10-27** — [SU-CS109 OCT272023](../raw/course/cs109/kbhsu_cs109_oct272023.md) - **2023-11-01** — [SU-CS109 NOV012023](../raw/course/cs109/kbhsu_cs109_nov012023.md) - **2023-11-03** — [SU-CS109 NOV032023](../raw/course/cs109/kbhsu_cs109_nov032023.md) - **2023-11-06** — [SU-CS109 NOV062023](../raw/course/cs109/kbhsu_cs109_nov062023.md) - **2023-11-08** — [SU-CS109 NOV082023](../raw/course/cs109/kbhsu_cs109_nov082023.md) - **2023-11-10** — [SU-CS109 NOV102023](../raw/course/cs109/kbhsu_cs109_nov102023.md) - **2023-11-13** — [SU-CS109 NOV132023](../raw/course/cs109/kbhsu_cs109_nov132023.md) - **2023-11-15** — [SU-CS109 NOV152023](../raw/course/cs109/kbhsu_cs109_nov152023.md) - **2023-11-17** — [SU-CS109 NOV172023](../raw/course/cs109/kbhsu_cs109_nov172023.md) - **2023-11-27** — [SU-CS109 NOV272023](../raw/course/cs109/kbhsu_cs109_nov272023.md) - **2023-11-29** — [SU-CS109 NOV292023](../raw/course/cs109/kbhsu_cs109_nov292023.md) - **2023-12-01** — [SU-CS109 DEC012023](../raw/course/cs109/kbhsu_cs109_dec012023.md) - **2023-12-04** — [SU-CS109 DEC042023](../raw/course/cs109/kbhsu_cs109_dec042023.md) ## Key Topics Referenced - [[Argmax]] - [[Bayes Normalization Constant]] - [[Bayes Theorem]] - [[Bayes Theorem Over Random Variable]] - [[Bernoulli Random Variable]] - [[Binomial Distribution]] - [[Boostrap]] - [[Central Limit Theorem]] - [[Combination]] - [[Counting]] - [[Deep Learning]] - [[Demorgan S Law]] - [[Double Envelope Problem]] - [[Eigenvalue]] - [[Event]] - [[Expectation]] - [[Exploration And Exploitation]] - [[Exponential Distribution]] - [[Function]] - [[Galton Board]] - [[General Inference]] - [[Geometric Random Variable]] - [[Grouping]] - [[Independently And Identically Distributed]] - [[Inference]] - [[Item Response Theory]] - [[Joint Probability Distribution]] - [[Likelyhood]] - [[Logistic Regression]] - [[Machine Learning]]