Wednesday, January 10, 2018

Bayes' Theorem Examples: A Visual Introduction For Beginners by Dan Morris

Bayes' Theorem Examples: A Visual Introduction For BeginnersBayes' Theorem Examples: A Visual Introduction For Beginners by Dan Morris
My rating: 4 of 5 stars

Bayes' Theorem Examples: A Visual Introduction for Beginners by Dan Morris makes this seemingly complex theorem more understandable. From the beginning of the book, the language of the book is such that the novice can begin to understand and comprehend the subject matter. Morris lays it out thus : 4 Ways that the Theorem is explained, 'Bayes' Theorem helps us update a belief based on new evidence by creating a new belief, it helps us revise a probability when presented with new evidence, it helps us change our beliefs about a probability based on new evidence, and helps update a hypothesis based on new evidence'. With visual examples, such as Venn Diagrams, Decision trees, Letters(coin flips) and physical objects, the theorem can be more readily explained. Morris lays out the structure of the book to further facilitate understanding, breaking it down even more, finally with a list of recommended readings that delve even more into the theorem. Ultimately the theorem is about statistics and probabilities, and how these work within structures like Google and other business models. Highly recommend for beginners to understand this theorem.

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