northwestger.blogg.se - Bayesian statistics khan academy

īayesian statistical methods use Bayes' theorem to compute and update probabilities after obtaining new data. This differs from a number of other interpretations of probability, such as the frequentist interpretation that views probability as the limit of the relative frequency of an event after many trials. The degree of belief may be based on prior knowledge about the event, such as the results of previous experiments, or on personal beliefs about the event. These are ordered by suggested study order.Bayesian statistics is a theory in the field of statistics based on the Bayesian interpretation of probability where probability expresses a degree of belief in an event.

Statistics 110 by Professor Joe Blitzstein.

Discrete Mathematics: An Open Introduction by Oscar Levin.

There’s a separate section on Bayes’ Theorem because it was the most relevant topic for me (spent the most time on it). Translating Between Probability and Sets (Stat 110). Read the Introduction and Preliminaries section (chapter 0) of this book.

Calculus (if you want to derive some of the distributions).

Knowing itertools is optional but it’ll make writing simulations easier.Python (loops, conditionals, functions, itertools).Sets (notation, relationships, operations, Venn diagrams).I’ve also went through various articles, videos, and tools to help develop a better intuition.

I mainly complemented this course with the Statistics 110 course by Professor Joe Blitzstein. I also had to supplement my study with other resources since this course doesn’t have everything I wanted to review. Here are some thoughts if you want to go through the course and a list of external resources I’ve found helpful.Īlthough the course covers quite a few concepts and is well-structured, the prerequisites aren’t clarified in the description. I’m continuing to review and practice math concepts to be a better software engineer. Course Link: Combinatorics and Probability (part of the discrete math specialization)