Bayesian Methods for Hackers
Probabilistic Programming and Bayesian Inference
(Author) Cameron Davidson-PilonThe next generation of problems will not have deterministic solutions - the solutions will be statistical that rely on mountains, or mounds, of data. Bayesian methods offer a very flexible and extendible framework to solve these types of problems. For programming students with minimal background in mathematics, this example-heavy guide emphasizes the new technologies that have allowed the inference to be abstracted from complicated underlying mathematics. Using Bayesian Methods for Hackers, students can start leveraging powerful Bayesian tools right now -- gradually deepening their theoretical knowledge while already achieving powerful results in areas ranging from marketing to finance.
Cameron Davidson-Pilon
Cameron Davidson-Pilon is a Canadian data scientist and author best known for his work in Bayesian statistics and machine learning. His book "Bayesian Methods for Hackers" is a seminal work in the field, blending technical expertise with a conversational writing style that makes complex concepts accessible to all readers.