This course enhances students' understanding of probability and statistics, essential for applications in Computer Science and data analysis. Students will learn through a combination of theory and ...

: The posterior; the probability of the hypothesis (e.g. that a parameter has a certain value) given the data: The likelihood of observing/generating the data given the hypothesis: The prior ...

*Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.